Selected Publications


To get full papers, please download from the Genetic Programming Bibliography, DBLP, or ask me via Mengjie.Zhang@ecs.vuw.ac.nz.

Refereed Journal Papers

  1. Emrah Hancer, Bing Xue, Mengjie Zhang. "Pareto Front Feature Selection based on Artificial Bee Colony Optimization". Information Sciences. Vol. 422. 2018. pp.462-479. DOI: 10.1016/j.ins.2017.09.028

  2. Ibrahim Rahman, Christopher Hollitt, Mengjie Zhang. "A feature map quality score estimation through regression". IEEE Transactions on Image Processing. 2017. (Accepted with minor editorial revision on 09 October 2017)

  3. Emrah Hancer, Bing Xue, Mengjie Zhang. "Differential Evolution for Filter Feature Selection Based on Information Theory and Feature Ranking". Knowledge Based Systems. 2017. (Accepted on 12 October 2017)

  4. Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang. "An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules with Genetic Programming". IEEE Transactions on Emerging Topics in Computational Intelligence. 2017. pp. 339 - 353. DOI: 10.1109/TETCI.2017.2743758 .

  5. Alexandre S. da Silva, Yi Mei, Hui Ma, Mengjie Zhang. "Evolutionary Computation for Automatic Web Service Composition -- An Indirect Representation Approach". Journal of Heuristics. 2017. DOI: 10.1007/s10732-017-9330-4 .

  6. Su Nguyen, Yi Mei, Mengjie Zhang. "Genetic Programming for Production Scheduling: A Survey with A Unified Framework". Complex & Intelligent Systems.. Volume 3, Issue 1. 2017. pp. 41–66. DOI: 10.1007/s40747-017-0036-x.

  7. Yuyu Liang, Mengjie Zhang; Will N Browne. "Image Feature Selection using Genetic Programming for Figure-ground Segmentation". Engineering Applications of Artificial Intelligence. Vol. 62, 2017. pp. 96-108. DOI: 10.1016/j.engappai.2017.03.009.

  8. Binh Tran, Bing Xue, Mengjie Zhang. "A New Representation in PSO for Discretisation-Based Feature Selection". IEEE Transaction on Cybernetics. 2017. DOI: 10.1109/TCYB.2017.2714145.

  9. Qi Chen, Mengjie Zhang, Bing Xue. "Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression". IEEE Transaction on Evolutionary Computation. 2017. pp. 792-806. DOI: 10.1109/TEVC.2017.2683489.

  10. Bing Xue and Mengjie Zhang."Evolutionary Feature Manipulation in Data Mining/Big Data". ACM SigEvoSolutions. Vol. 10 , Issue 1. 2017. pp. 4-11. [PDF].

  11. Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, Mark Johnston. "Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-invariant Texture Image Descriptors". IEEE Transaction on Evolutionary Computation. 2017. DOI: 10.1109/TEVC.2017.2685639.

  12. Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, Mengjie Zhang. "Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification". IEEE Transaction on Evolutionary Computation. 2017. DOI: 10.1109/TEVC.2017.2657556.

  13. Yuyu Liang, Mengjie Zhang, Will Browne. "Genetic Programming for Evolving Figure-ground Segmentors from Multiple Features". Applied Soft Computing. Vol. 51, 2017. pp. 83-95. DOI: 10.1016/j.asoc.2016.07.055

  14. Muhammad Ghifary, David Balduzzi, Bastiaan W. Kleijn, Mengjie Zhang. "Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization". IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. 15pp. DOI: 10.1109/TPAMI.2016.2599532.

  15. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Improving Classification with Incomplete Data using Wrapper-based Feature Selection". Evolutionary Intelligence. Volume 9, Issue 3, 2016. pp. 81–94. DOI: 10.1007/s12065-016-0141-6

  16. Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, Mengjie Zhang. "Automatically Evolving Rotation-invariant Texture Image Descriptors by Genetic Programming". IEEE Transaction on Evolutionary Computation. 2017. pp. 83-101. DOI: 10.1109/TEVC.2016.2577548.

  17. Muhammad Iqbal, Syed S Naqvi, Will N Browne, Christopher Hollitt, Mengjie Zhang. "Learning Feature Fusion Strategies for Various Image Types to Detect Salient Objects". Pattern Recognition. Vol. 60, 2016. pp. 106-120. DOI: 10.1016/j.patcog.2016.05.020

  18. Su Nguyen, Mengjie Zhang, Kay Chen Tan. "Surrogate-assisted Genetic Programming with Simplified Models for Automated Design of Dispatching Rules". IEEE Transactions on Cybernetics.. 2017. DOI: 10.1109/TCYB.2016.2562674

  19. Gang Chen, Colin Douch, and Mengjie Zhang. "Accuracy-based Learning Classifier Systems for Multi-step Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions". IEEE Transactions on Evolutionary Computation. Volume: 20, Issue: 6, Dec. 2016. pp. 953-971. DOI: 10.1109/TEVC.2016.2560139

  20. Binh Tran, Bing Xue and Mengjie Zhang. "Investigation on Particle Swarm Optimisation for Feature Selection on High-dimensional Data: Local Search and Selection Bias". Connection Science. Vol. 28, Issue 3. 2016. pp. 270-294. DOI: 10.1080/09540091.2016.1185392

  21. Hoai Bach Nguyen, Bing Xue, Ivy Liu, Peter Andreae, and Mengjie Zhang. "New mechanism for archive maintenance in PSO-based multi-objective feature selection", Soft Computing. Volume 20, Issue 10. 2016. pp. 3927–3946. DOI: 10.1007/s00500-016-2128-8.

  22. Bing Xue, Mengjie Zhang, Will Browne, Xin Yao. "A Survey on Evolutionary Computation Approaches to Feature Selection". IEEE Transaction on Evolutionary Computation. Vol. 20, Issue 4, 2016. pp. 606-626. DOI: 10.1109/TEVC.2015.2504420

  23. Ibrahim Hussain, Christopher Hollitt, Mengjie Zhang. "Contextual based Top-down Saliency Feature Weighting for Target Detection Decision". Machine Vision and Applications. Vol. 27, Issue 6, 2016. pp. 893-914. DOI: 10.1007/s00138-016-0754-x.

  24. Binh Tran, Bing Xue and Mengjie Zhang. "Genetic Programming for Feature Construction and Selection in Classification on High-dimensional Data". Memetic Computing. vol 8, Issue 1. 2016. pp. 3-15. DOI: 10.1007/s12293-015-0173-y

  25. Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang. "An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework". Evolutionary Intelligence. December 2015, Volume 8, Issue 4. pp. 185-201.

    DOI: 10.1007/s12065-015-0133-y

  26. Muhammad Iqbal, Will N. Browne and Mengjie Zhang. "Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems". Evolutionary Computation (ECJ, MIT Press). 2015. DOI: 10.1162/EVCO_a_00167

  27. Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang. "A binary ABC algorithm based on advanced similarity scheme for feature selection". Applied Soft Computing. Volume 36, November 2015, Pages 334-348. DOI: 10.1016/j.asoc.2015.07.023

  28. Juergen Branke, Su Nguyen, Christoph Pickardt, Mengjie Zhang. "Automated Design of Production Scheduling Heuristics: A Review". IEEE Transactions on Evolutionary Computation. Vol. 20, Issue 1. 2016. pp. 110-124. DOI: 10.1109/TEVC.2015.2429314

  29. Gang Chen, Colin Douch, and Mengjie Zhang. "Using Learning Classifier Systems to Learn Stochastic Decision Policies". IEEE Transactions on Evolutionary Computation. Vol. 19, Issue 6. 2015. pp. 885-902 DOI: 10.1109/TEVC.2015.2415464. (Online first on 23 March 2015)

  30. Bing Xue, Mengjie Zhang and Will Browne. "A Comprehensive Comparison on Feature Selection Approaches to Classification". International Journal of Computational Intelligence and Applications (IJCIA). Vol. 14, No. 2. 2015. pp. 1550008-1 -- 1550008-23. DOI: 10.1142/S146902681550008X .

  31. Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Population Statistics for Particle Swarm Optimization: Hybrid Methods in Noisy Optimization Problems". Swarm and Evolutionary Computation. Vol. 22, 2015. pp. 15-29. DOI: 10.1016/j.swevo.2015.01.003

  32. Harith Al-Sahaf, Mengjie Zhang, Mark Johnston. "Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances". Evolutionary Computation (Journal, MIT Press). vol. 24, No. 1. 2016. pp. 143-182. DOI: 10.1162/EVCO_a_00146.

  33. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for Edge Detection: A Gaussian-based Approach". Soft Computing. Vol. 20, Issue 3. 2016. pp. 1231-1248. DOI: 10.1007/s00500-014-1585-1.

  34. Hui Ma, Anqi Wang, Mengjie Zhang. "A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition". Transaction on Large-Scale Data- and Knowledge-Centered Systems. 2015. pp. 180-205.

  35. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling". IEEE Transactions on Cybernetics. Vol. 45. Issue 1. 2015. pp. 1-14. DOI: 10.1109/TCYB.2014.2317488.

  36. Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Population Statistics for Particle Swarm Optimization: Single-Evaluation Methods in Noisy Optimization Problems". Soft Computing. Vol. 19, Issue 9. 2015. pp. 2691-2716 DOI: 10.1007/s00500-014-1438-y.

  37. Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Deception, blindness and disorientation in particle swarm optimization applied to noisy problems". Swarm Intelligence. Vol. 8, No. 4. 2014. pp. 247-273

  38. Wenlong Fu, Mark Johnston, Mengjie. "Distribution-based Invariant Feature Construction using Genetic Programming for Edge Detection". Soft Computing. . DOI: 10.1007/s00500-014-1432-4. 2015. Volume 19, Issue 8, pp 2371-2389.

  39. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Improving Genetic Search in XCS-Based Classifier Systems through Understanding the Evolvability of Classifier Rules". Soft Computing. Vol. 19, Issue 7. 2015. pp. 1863-1880. DOI: 10.1007/s00500-014-1369-710.1007/s00500-014-1369-7.

  40. Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Population Statistics for Particle Swarm Optimization: Resampling Methods in Noisy Optimization Problems". Swarm and Evolutionary Computation. Vol. 17. 2014. pp. 37-59. DOI: 10.1016/j.swevo.2014.02.004

  41. Bing Xue, Liam Cervante, Lin Shang, Will Browne and Mengjie Zhang. "Binary PSO and rough set theory for feature selection: a multi-objective filter based approach". International Journal of Computational Intelligence and Applications (IJCIA). Vol. 13, Issue 02, June 2014. pp. 1450009-1 - 1450009-34 (34 pages). DOI: 10.1142/S1469026814500096

  42. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Genetic Programming for Evolving Reusable Due-date Assignment Models in Job Shop Environments". Evolutionary Computation (Journal, MIT Press). Vol. 22, No. 1. 2014. pp. 105-138. DOI: 10.1162/EVCO_a_00105.

  43. Soha Ahmed, Mengjie Zhang, Lifeng Peng. "Improving Feature Ranking for Biomarker Discovery in Proteomics Mass Spectrometry Data using Genetic Programming". Connection Science. Vol. 26, Issue 3, 2014. pp. 215-243. DOI: 10.1080/09540091.2014.906388.

  44. Toktam Ebadi, Ignas Kukenys, Will N. Browne, Mengjie Zhang. "Human Readable Feature Pattern Classification System using Learning Classifier Systems". Evolutionary Computation (Journal). Vol. 22, No. 4. Winter 2014. pp. 629-650. DOI: 10.1162/EVCO_a_00127.

  45. Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao. "Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data". IEEE Transactions on Evolutionary Computation. Vol. 18, No. 6. 2014. pp. 893-908. DOI: 10.1109/TEVC.2013.2293393.

  46. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Low-level Feature Extraction for Edge Detection using Genetic Programming". IEEE Transactions on Cybernetics. Vol. 44, No. 8. 2014. pp. 1459-1472. dx.doi.org/10.1109/TCYB.2013.2286611.

  47. Bing Xue, Mengjie Zhang, Will N. Browne. "Particle Swarm Optimisation for Feature Selection in Classification: Novel Initialisation and Updating Mechanisms". Applied Soft Computing. Vol. 18, 2014. pp. 261-276. dx.doi.org/10.1016/j.asoc.2013.09.018.

  48. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems". IEEE Transactions on Evolutionary Computation. Vol. 18, No. 4. 2014. pp. 465-480 DOI: dx.doi.org/10.1109/TEVC.2013.2281537.

  49. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming". IEEE Transactions on Evolutionary Computation. Vol. 18, Issue 2. 2014. pp. 193 - 208. DOI: dx.doi.org/10.1109/TEVC.2013.2248159.

  50. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Learning Complex, Overlapping and Niche Imbalance Boolean Problems Using XCS-Based Classifier Systems". Evolutionary Intelligence. Vol. 6, Issue 2. 2013. pp. 73-91. DOI: dx.doi.org/10.1007/s12065-013-0091-1.

  51. Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Adaptive Artificial Datasets Through Learning Classifier Systems for Classification Tasks Evolutionary Intelligence". Evolutionary Intelligence. Vol. 6, Issue 2. 2013. pp. 93-107. DOI: dx.doi.org/10.1007/s12065-013-0094-y.

  52. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Hybrid evolutionary computation methods for quay crane scheduling problems Computers & Operations Research". (Journal of) Computers and Operations Research. Vol. 40, Issue. 8. 2013. pp. 2083-2093. DOI: dx.doi.org/10.1016/j.cor.2013.03.007.

  53. Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang. "Multi-Objective Evolutionary Algorithms for Filter Based Feature Selection in Classification". International Journal on Artificial Intelligence Tools . Vol. 22, Issue 04, August 2013. pp. 1350024-1 -- 1350024-31. DOI: 10.1142/S0218213013500243.

  54. Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A Novel Particle Swarm Optimisation Approach to Detecting C ontinuous, Thin and Smooth Edges in Noisy Images". Information Sciences (Journal, Elsevier). Vol. 246. 2013. pp. 28-51. DOI: 10.1016/j.ins.2013.05.031

  55. Juan Rada-Vilela, Mengjie Zhang, Winston Seah. "A performance study on synchronicity and neighborhood size in particle swarm optimization". Soft Computing (Springer). Vol. 17, Issue 6. 2013. pp. 1019-1030. DOI: 10.1007/s00500-013-1015-9

  56. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Evolving Optimum Populations with XCS Classifier Systems". Soft Computing. Vol. 17 , Issue 3, 2013. pp. 503-518. DOI: 10.1007/s00500-012-0922-5

  57. Huayang Xie, Mengjie Zhang. "Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming". IEEE Transactions on Evolutionary Computation. Vol. 17, No. 1. 2013. pp. 1-19. DOI: 10.1109/TEVC.2011.2182652

  58. Bing Xue, Mengjie Zhang, Will Browne. "Particle Swarm Optimisation for Feature Selection in Classification: A Multi-Objective Approach". IEEE Transactions on Cybernetics. Vol. 43, No. 6. 2013. pp. 1656-1671. DOI: 10.1109/TSMCB.2012.2227469.

  59. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem". IEEE Transactions on Evolutionary Computation . Vol. 17. No. 5. 2013. pp. 621-639. DOI: 10.1109/TEVC.2012.2227326

  60. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Learning Iterative Dispatching Rules for Job Shop Scheduling with Genetic Programming". Special issue on Advanced Dispatching Rules for Large-scale Manufacturing Systems, International Journal of Advanced Manufacturing Technology. 2013. Vol. 67, Issue 1-4. pp. 85-100.

  61. Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao. "Evolving Diverse Ensembles using Genetic Programming for Classification with Unbalanced Data". IEEE Transactions on Evolutionary Computation. Vol. 17, No. 3. 2013. pp. 368-386. DOI: 10.1109/TEVC.2012.2199119

  62. Bing Xue, Liam Cervante, Lin Shang, Will Browne, Mengjie Zhang. "A Multi-Objective Particle Swarm Optimisation for Filter Based Feature Selection in Classification Problems". Connection Science. Vol. 24, No. 2-3, 2012. pp. 91-116 DOI: 10.1080/09540091.2012.737765.

  63. Andy Song, Mengjie Zhang. "Genetic Programming for Detecting Target Motions". Connection Science. Vol. 24, No. 2-3, 2012. pp. 117-141. DOI: 10.1080/09540091.2012.744873.

  64. Carlton Downey, Mengjie Zhang, Jing Liu. "Parallel Linear Genetic Programming for Multi-class Classification". Genetic Programming and Evolvable Machines. Vol. 13, No. 3. Springer. 2012. pp275-304. DOI: 10.1007/s10710-012-9162-9.

  65. Kourosh Neshatian, Mengjie Zhang, Peter Andreae. "A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming". IEEE Transactions on Evolutionary Computation. Vol. 16, No. 5. 2012. pp. 645-661. DOI: 10.1109/TEVC.2011.2166158.

  66. Urvesh Bhowan, Mark Johnston, Mengjie Zhang. "Developing New Fitness Functions in Genetic Programming for Classification with Unbalanced Data". IEEE Transactions on Systems, Man, and Cybernetics (Part B). Vol. 42, No. 2. 2012. pp. 406-421. DOI: 10.1109/TSMCB.2011.2167144. Online date: 26/09/2011.

  67. Rohitash Chandra, Marcus Frean and Mengjie Zhang. "Crossover-based local search in cooperative co-evolutionary feedforward neural networks". Applied Soft Computing. Vol. 12, Issue 9. 2012. pp.2924-2932. DOI: 10.1016/j.asoc.2012.04.010

  68. Rohitash Chandra, Marcus Frean and Mengjie Zhang. "Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks". Soft Computing. Vol. 16, No. 6. 2012. pp. 1009-1020. DOI: 10.1007/s00500-011-0798-9.

  69. Rohitash Chandra and Mengjie Zhang. "Cooperative Coevolution of Elman Recurrent Neural Networks for Chaotic Time Series Prediction". (journal of) Neurocomputing . Vol. 86. 2012. pp. 116-123. 10.1016/j.neucom.2012.01.014.

  70. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang. "Two-Tier Genetic Programming Towards Raw Pixel Based Image Classification". Expert Systems With Applications. Vol. 39, Issue 16. 2012. pp. 12291-12301. DOI: 10.1016/j.eswa.2012.02.123.

  71. Rohitash Chandra, Marcus Frean and Mengjie Zhang. "On the Issue of Separability for Problem Decomposition in Cooperative Neuro-evolution". Neurocomputing . Vol. 87. 2012. pp. 33-40. DOI: 10.1016/j.neucom.2012.02.005.

  72. Kourosh Neshatian , Mengjie Zhang. "Using Genetic Programming for Context-Sensitive Feature Scoring in Classification Problems". Connection Science. Vol. 23, No. 3. 2011. pp.183-207. DOI: 10.1080/09540091.2011.630065.

  73. Huayang Xie, Mengjie Zhang. "Impacts of Sampling Strategies in Tournament Selection for Genetic Programming". Soft Computing. Vol. 16, No. 4. 2012. pp. 615-633. DOI: 10.1007/s00500-011-0760-x.

  74. Rohitash Chandra, Marcus Frean, Mengjie Zhang, Christian W. Omlin. "Encoding Subcomponents in Cooperative Co-evolutionary Recurrent Neural Networks". Neurocomputing. Vol. 74, Issue 17. 2011. pp. 3223-3234. DOI: 10.1016/j.neucom.2011.05.003.

  75. Huayang Xie, Mengjie Zhang. "Depth-Control Strategies for Crossover in Tree-based Genetic Programming". (Journal of) Soft Computing. 2011. DOI: 10.1007/s00500-011-0700-9. Vol. 15, No. 9. 2011. pp. 1865-1878.

  76. Ammar Mohemmed, Mark Johnston and Mengjie Zhang. "Particle swarm optimisation based AdaBoost for object detection". (Journal of) Soft Computing - A Fusion of Foundations, Methodologies and Applications. DOI: 10.1007/s00500-010-0615-x. Vol. 15, No. 9. 2011. pp. 1793-1805.

  77. Daniel McGaughran, Mengjie Zhang. "Evolving More Representative Programs with Genetic Programming". International Journal of Software Engineering and Knowledge Engineering. Vol. 19, No. 1. 2009. pp. 1-22.

  78. David Kinzett, Mark Johnston and Mengjie Zhang. "Numerical simplification for bloat control and analysis of building blocks in genetic programming". (Journal of) Evolutionary Intelligence. Vol 2, No. 4. pp. 151-168. DOI: http://dx.doi.org/10.1007/s12065-009-0029-9. Springer. Dec 2009.

  79. Mengjie Zhang and Phillip Wong. "Genetic Programming for Medical Classification: A Program Simplification Approach". Genetic Programming and Evolvable Machines. Vol. 9, No. 3, 2008. pp. 229-255. DOI 10.1007/s10710-008-9059-9.

  80. Peter Andreae, Huayang Xie, Mengjie Zhang. "Genetic Programming for Detecting Rhythmic Stress in Spoken English". International Journal of Knowledge-Based and Intelligent Engineering Systems (KES Journal). Special Issue on Genetic Programming. Vol. 12, No. 1, 2008. pp. 15-28.

  81. Xiaoying Gao, Le Phong Bao Vuong, and Mengjie Zhang. "Detecting Data Records in Semi-Structured Web Sites Based on Text Token Clustering". Journal of Integrated Computer-Aided Engineering (ICAE). Vol. 15, No. 4, 2008. pp. 297-311.

  82. Mengjie Zhang, Phillip Wong. "Explicitly Simplifying Evolved Genetic Programs During Evolution". International Journal of Computational Intelligence and Applications. Vol. 7, No. 2, 2008. pp. 201-232.

  83. Mengjie Zhang, Xiaoying Gao, Weijun Lou. "A New Crossover Operator in Genetic Programming for Object Classification". IEEE Transactions on Systems, Man and Cybernetics, Part B. Vol. 37, No.5, 2007. pp. 1332-1243.

  84. Mengjie Zhang. "Improving Object Detection Performance with Genetic Programming". International Journal on Artificial Intelligence Tools. Vol. 16, No. 5, 2007. pp. 849-873.

  85. Mengjie Zhang. "A Linear Structured Approach and A Refined Fitness Function in Genetic Programming for Multi-class Object Classification". Connection Science. Vol. 19. No. 4, 2007. pp. 339-359.

  86. Mengjie Zhang, Urvesh Bhowan, Bunna Ny. "Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function". Electronic Letters on Computer Vision and Image Analysis. Vol. 6. No. 1. 2007. pp.27-43.

  87. Xin Li, Jinguo Zhang, Mengjie Zhang, Li Zhao. "An Approach to Identification of Weed in Wheat Fields." Journal of Agricultural Mechanization Research. Vol. 2007, No. 5. 2007. pp. 64-68.

  88. Xiaoli Ma, Guifa Teng, Mengjie Zhang. "Carbon Potential Prediction Using Genetic Programming". Control and Automation. Vol. 23, No. 9. 2007. pp.239-241.

  89. Mengjie Zhang. "Using Gaussian Distribution to Construct Fitness Functions in Genetic Programming for Multiclass Object Classification ". Pattern Recognition Letters. Vol. 27, Issue 11. 2006. pp.1266-1274.

  90. Mengjie Zhang, Malcolm Lett. "Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data". IEEE Intelligent Informatics Bulletin (IEEE Computational Intelligence Bulletin). Vol. 7, No. 1. 2006. pp. 12-21.

  91. Dong Wang, Mengjie Zhang. "A New Approach to Multiple Class Pattern Classification with Random Matrices". Journal of Applied Mathematics and Decision Sciences. Vol. 9,, No. 3, 2005. pp. 165-175.

  92. Xiaoying Gao, Mengjie Zhang. "A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites". International Journal of Artificial Intelligence Tools. Vol. 13, No. 3. 2004. pp. 721-738.

  93. Xiaoying Gao, Mengjie Zhang, Peter Andreae. "Automatic Pattern Construction for Web Information Extraction". International Journal of Uncertainty, Fuziness, and Knowledge Based Systems. Vol. 12, No. 4. 2004. pp. 447-470.

  94. Mengjie Zhang, Victor Ciesielski. "Neural Networks and Genetic Algorithms for Domain Independent Multiclass Object Detection". International Journal on Computational Intelligence and Applications, Vol. 4, No. 1. 2004. pp.77-108.

  95. Mengjie Zhang, Victor Ciesielski, Peter Andreae, "A Domain Independent Window-Approach to Multiclass Object Detection Using Genetic Programming", EURASIP Journal on Applied Signal Processing, Vol. 2003, No.8, pp.841-859.

  96. Mengjie Zhang, "Object Mining in Image Data Using Neural Networks", Communications of Information and Computing Machinary, Vol. 5, No.2 (2002), pp.107-112.

  97. Liu Fengqin, Zhang Mengjie and Yang Qing. Design and Implementation of the Object-Oriented Knowledge Representation System. In Journal of Computer Application in Agriculture, pages 21-26, Vol. 1 , No.3, September 1993.

  98. Zhang Mengjie, Teng Quifa, Huang Lihua and Zhao Li. Object-Oriented Technology and its application to Expert Systems. Journal of Office Automation (Japan), ISSN 0389-570X, pages 171-173, Vol. 14 , No.3-4, 1993.

  99. Zhang Mengjie and Liu Gang. Fault Diagnosis Expert System with Knowledge Bases of Blackboard-Frame Structure. In Journal of Hebei Agricultural University, ISSN 1000-1573, pages 73- 77, Vol. 13, No.4, 1990. Also in Proceedings of the 89 National Conference on Artificial Intelligence, Beijing, China, November, 1989.


    Edited Journal Special Issues, Books, and Conference Proceedings


  100. Stefano Cagnoni, Bing Xue, Mengjie Zhang. "Special Issue on Computer Vision, Image Processing and Pattern Recognition". Applied Soft Computing. 2017.

  101. Su Nguyen, Yi Mei, Mengjie Zhang. "Special Issue on Automated Design and Adaptation of Heuristics for Scheduling and Combinatorial Optimisation". Genetic Programming and Evolvable Machines. 2016. CFP.

  102. Stefano Cagnoni, Mengjie Zhang. "Foreword: special issue on evolutionary computer vision and pattern recognition". Evolutionary Intelligence. 2016. DOI: 10.1007/s12065-016-0142-5.

  103. Giovanni Squillero, Paolo Burelli, ..., Mengjie Zhang (Eds.). EvoApplications 2016: Proceedings of the 19th European Conference on Applications of Evolutionary Computation (Part I), Lecture Notes in Computer Science, Springer (LNCS 9597). Porto, Portugal, March 30 --April 1, 2016. 849+XXV pages. ISBN: 978-3-319-31203-3.

  104. Giovanni Squillero, Paolo Burelli, ..., Mengjie Zhang (Eds.). EvoApplications 2016: Proceedings of the 19th European Conference on Applications of Evolutionary Computation (Part I), Lecture Notes in Computer Science, Springer (LNCS 9598). Porto, Portugal, March 30 --April 1, 2016. 329+XXVI pages. ISBN: 978-3-319-31152-4.

  105. Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu. "Editorial: Nature-Inspired Algorithms for Real-World Optimization Problems". Journal of Applied Mathematics. Special Issue on Nature-Inspired Algorithms for Real-World Optimization Problems. Vol. 2015. 2015. pp. 359203:1-359203:2.

  106. Antonio M. Mora, Giovanni Squillero, ..., Mengjie Zhang (eds.) EvoApplications 2015: Proceedings of the 18th European Conference on Applications of Evolutionary Computation, Lecture Notes in Computer Science, Springer (LNCS 9028). Copenhagen, Denmark, April 8-10, 2015. 913+XXVII pages. ISBN: 978-3-319-16548-6.

  107. Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang (Eds.): Simulated Evolution and Learning - 10th International Conference (SEAL 2014), Dunedin, New Zealand, December 15-18, 2014. Proceedings. Lecture Notes in Computer Science 8886, Springer 2014. 862+XVI pages ISBN 978-3-319-13562-5.

  108. Dirk Arnold, Mengjie Zhang, Ryan Urbanowicz, Muhammad Iqbal, Kamran Shafi, Forrest Stonedahl, William Rand, Tea Tusar, Boris Naujoks, David Walker, Richard Everson, Jonathan Fieldsend, Stefan Wagner, Michael Affenzeller, Zhun Fan, Yaochu Jin, Hod Lipson, Erik Goodman, Alexandru-Adrian Tantar, Emilia Tantar, Peter A. N. Bosman, Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna I Esparcia-Alcazar,Frank W. Moore, Jaume Bacardit, Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L. Smith, Stefano Cagnoni, Robert M. Patton, Steven Gustafson, Ekaterina Vladislavleva, John Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons, John Clark, Dirk Sudholt, Anna Esparcia, Aniko Ekart, Carola Doerr, Anne Auger (editors), GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. Vancouver, BC, Canada, 2014.

  109. Anna I. Esparcia-Alcazar, Antonio M. Mora, Antonio M. Mora, Paolo Burelli, William S. Bush, ..., Mengjie Zhang, Nur Zincir-Heywood (eds.) EvoApplications 2014: Proceedings of the 17th European Conference on Applications of Evolutionary Computation, Lecture Notes in Computer Science, Springer (LNCS 8602). Granada, Spain, April 23-25. 969+XXVIII pages. ISBN: 978-3-662-45523-4.

  110. Taehyun Rhee, Ramesh Rayudu, Christopher Hollitt, John Lewis, Mengjie Zhang (eds.). Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013). Wellington, New Zealand. 27-29 November 2013. ISBN: 978-1-4799-0882-0. DOI: 10.1109/IVCNZ.2013.6727069

  111. Mengjie Zhang, Mario Koeppen, Sergio Damas. "Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial]". IEEE Computational Intelligence Magazine. Vol. 8, Issue 1. 2013. pp. 14-15. DOI: 10.1109/MCI.2012.2228585

  112. Anna Isabel Esparcia-Alcazar, Sara Silva, Kevin Sim, Stefano Cagnoni, Alexandros Agapitos, Anabela Simoes, Neil Urquhart, Carlos Cotta, Ivanoe De Falco, Evert Haasdijk, J.J. Merelo, Antonio Della Cioppa, Giovanni Squillero, Francisco Fernandez de Vega, Ernesto Tarantino, Konrad Diwold, Mengjie Zhang, Aniko Ekart, Andrea Tettamanzi, A.E. Eiben, Paolo Burelli, Philipp Rohlfshagen, Robert Schaefer, Kyrre Glette (eds.) EvoApplications 2013: Proceedings of the 16th European Conference on Applications of Evolutionary Computation, Lecture Notes in Computer Science, Springer (LNCS 7835). Vienna, Austria, April 3-5, 2013. 639+XXVII pages. ISBN: 978-3-642-37191-2.

  113. Mengjie Zhang, Michael Kirley and Xiaodong Li. "special issue on evolutionary optimisation and learning". (Journal of) Soft Computing. DOI: 10.1007/s00500-010-0609-8. Vol. 15, No. 9. 2011. pp. 1671-1673.

  114. Michael Kirley, Mengjie Zhang and Xiaodong Li. "Special Issue on Simulated Evolution and Learning". Evolutionary Intelligence. Vol 2, No. 4. pp. 149-150. DOI: http://dx.doi.org/10.1007/s12065-009-0033-0. Springer. Dec 2009.

  115. Wayne Wobcke, Mengjie Zhang. AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence , Lecture Notes in Computer Science Springer (LNCS 5360) , Auckland, New Zealand, December 1-5, 2008. Proceedings Springer 2008. 616+xvi pages. ISBN: 978-3-540-89377-6.

  116. Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jurgen Branke, Yuhui Shi (Eds.) (2008). Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL 2008), Lecture Notes in Computer Science Springer (LNCS 5361) , Melbourne, Australia, December 7 - 10, 2008. 658+xvi pages. ISBN: 978-3-540-89693-7


    Refereed Book Chapters and LNCS/LNAI Publications


  117. Yi Mei, Su Nguyen and Mengjie Zhang. "Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling". Proceedings of the 11th International Conference on Simulated Evolution and Learning. Lecture Notes in Computer Science. Shenzhen, China. 10-13 November 2017. (to appear)

  118. Yiming Peng, Gang Chen, Mengjie Zhang and Yi Mei. "Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction". Proceedings of the 11th International Conference on Simulated Evolution and Learning. Lecture Notes in Computer Science. Shenzhen, China. 10-13 November 2017. (to appear)

  119. Qi Chen, Mengjie Zhang and Bing Xue. "Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression". Proceedings of the 11th International Conference on Simulated Evolution and Learning. Lecture Notes in Computer Science. Shenzhen, China. 10-13 November 2017. (to appear)

  120. Andrew Lensen, Bing Xue and Mengjie Zhang. "New Representations in Genetic Programming for Feature Construction in k-means Clustering". Proceedings of the 11th International Conference on Simulated Evolution and Learning. Lecture Notes in Computer Science. Shenzhen, China. 10-13 November 2017. (to appear)

  121. Wenlong Fu, Bing Xue, Mengjie Zhang and Xiaoying Gao. "Transductive Transfer Learning in Genetic Programming for Document Classification". Proceedings of the 11th International Conference on Simulated Evolution and Learning. Lecture Notes in Computer Science. Shenzhen, China. 10-13 November 2017. (to appear)

  122. Harith Al-Sahaf, Bing Xue and Mengjie Zhang. "A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors". Proceedings of the 11th International Conference on Simulated Evolution and Learning. Lecture Notes in Computer Science. Shenzhen, China. 10-13 November 2017. (to appear)

  123. Binh Ngan Tran, Bing Xue, Mengjie Zhang. "Class Dependent Multiple Feature Construction Using Genetic Programming For High-Dimensional Data". Proceedings of the 30th Australasian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence. Vol. 10400. Melbourne, Australia. August 2017. pp. 182-194.

  124. Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing". Proceedings of the 30th Australasian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence. Vol. 10400. Melbourne, Australia. August 2017. pp. 169-181.

  125. Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei and Mengjie Zhang. "Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching". Proceedings of the 30th Australasian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence. Vol. 10400. Melbourne, Australia. August 2017. pp. 39-51.

  126. Binh Ngan Tran, Bing Xue, Mengjie Zhang. "Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data". Proceedings of the 20th European Conference on Genetic Programming (EuroGP 2017). Lecture Notes in Computer Science. Vol. 10196. Amsterdam, The Netherlands. 18-21 April 2017. pp. 210-226.

  127. Yi Mei, Su Nguyen, Mengjie Zhang. "Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming". Proceedings of the 20th European Conference on Genetic Programming (EuroGP 2017). Lecture Notes in Computer Science. Vol. 10196. Amsterdam, The Netherlands.18-21 April 2017. pp. 147-163.

  128. Qi Chen, Mengjie Zhang, Bing Xue. "Angle-aware Geometric Semantic Crossover in Genetic Programming for Symbolic Regression". Proceedings of the 20th European Conference on Genetic Programming (EuroGP 2017). Lecture Notes in Computer Science. Vol. 10196. Amsterdam, The Netherlands. 18-21 April 2017. pp. 229-245.

  129. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Bagging and Feature Selection for Classification with Incomplete Data". Proceeding of the 20th European Conference on the Applications of Evolutionary Computation (EvoApplications 2017), Lecture Notes in Computer Science. Vol. 10199. Amsterdam, The Netherlands. 18-21 April 2017. pp. 471-486.

  130. Andrew Lensen, Bing Xue, Mengjie Zhang. "Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering". Proceeding of the 20th European Conference on the Applications of Evolutionary Computation (EvoApplications 2017), Lecture Notes in Computer Science.Vol. 10199. Amsterdam, The Netherlands. 18-21 April 2017. pp. 538-554

  131. Yuyu Liang, Mengjie Zhang and Will Browne. "Wrapper Feature Construction for Figure-ground Image Segmentation Using Genetic Programming". Proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2017). Lecture Notes in Artificial Intelligence. Vol. 10142. Springer. Geelong, Australia. 30 Jan -- 2 Feb 2017. pp. 111-123.

  132. John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie Zhang. "Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown". Proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2017). Lecture Notes in Artificial Intelligence. Vol. 10142. Springer. Geelong, Australia. 30 Jan -- 2 Feb 2017. pp. 301-313.

  133. Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang. "A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling". Proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2017). Lecture Notes in Artificial Intelligence. Vol. 10142. Springer. Geelong, Australia. 30 Jan -- 2 Feb 2017. pp. 326-338.

  134. Boxiong Tan, Hai Huang, Hui Ma and Mengjie Zhang. "Binary PSO for Web Service Location-Allocation". Proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2017). Lecture Notes in Artificial Intelligence. Vol. 10142. Springer. Geelong, Australia. 30 Jan -- 2 Feb 2017. pp. 366-377.

  135. Jiaheng Wang, Bing Xue, Xiaoying Gao, and Mengjie Zhang. "A Differential Evolution Approach to Feature and Instance Selection in Classification". The 14th Pacific Rim International Conference on Artificial Intelligence, Lecture Notes in Computer Science. Vol. 9810. August 22-26, 2016, Phuket, Thailand. pp. 588-602.

  136. Jianbin Ma, Bing Xue and Mengjie Zhang. "A profile-based authorship attribution approach to forensic identification in Chinese online messages". Pacific-Asia Workshop on Intelligence and Security Informatics (PAISI) @PAKDD 2016, Lecture Notes in Computer Science. . Vol. 9650.. Auckland, New Zealand, April 19, 2016. pp. 33--52.

  137. Muhammad Iqbal, Bing Xue, Mengjie Zhang. "Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems". Proceedings of 20th Pacific-Asia Conference on Knowledge Discovery in Databases (PKDDD 2016). Lecture Notes in Computer Science. Vol. 9652. 2016. pp. 117-129.

  138. John Park, Yi Mei, Su Nguyen, Aaron Chen, Mark Johnston, Mengjie Zhang. "Genetic Programming based Hyper-heuristics to Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches". Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016). Lecture Notes in Computer Science. Vol. 9594. 2016. pp. 115-132.

  139. Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue. "Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data". Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016). Lecture Notes in Computer Science. Vol. 9594. 2016. pp. 51-67.

  140. Cao Truong Tran, Mengjie Zhang, Peter Andreae. "A Genetic Programming-based Imputation Method for Classification with Missing Data". Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016). Lecture Notes in Computer Science. Vol. 9594. 2016. pp. 149-163.

  141. Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang. "Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition". Proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP2016), Lecture Notes in Computer Science. Vol. 9595. 2016. pp. 202-218.

  142. Boxiong Tan, Yi Mei, Hui Ma, Mengjie Zhang. "Particle Swarm Optimization for Multi-Objective Web Service Location Allocation". Proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP2016), Lecture Notes in Computer Science. Vol. 9595. 2016. pp. 219-234.

  143. Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue. "A Multi-objective Genetic programming Biomarker Detection Approach in Mass Spectrometry Data". Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016, EvoBIO 2016). Lecture Notes in Computer Science. Vol. 9597. 2016. pp. 106-122

  144. Binh Tran Ngan, Mengjie Zhang, Bing Xue. "Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features For High-Dimensional Classification". Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016, EvoIASP 2016). Lecture Notes in Computer Science. Vol. 9597. 2016. pp. 701-718.

  145. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "A Wrapper Feature Selection Approach to Classification with Missing Data". Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016, EvoIASP 2016). Lecture Notes in Computer Science. Vol. 9597. 2016. pp. 685-700.

  146. Nasser Sabar, Andy Song, Mengjie Zhang. "A Variable Local Search based Memetic Algorithm for the Load Balancing Problem in Cloud Computing". Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016). Lecture Notes in Computer Science . Vol. 9597. 2016. pp. 267-282.

  147. Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang. "GraphEvol: A Graph Evolution Technique for Web Service Composition". Proceedings of 26th International Conference (DEXA 2015), Part II, Lecture Notes in Computer Science. Vol. 9262. Valencia, Spain, September 1-4, 2015. pp. 134-142.

  148. Hoai Bach Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang. "Gaussian Transformation based Representation in Particle Swarm Optimisation for Feature Selection". Proceedings of the 18th European Conference on the Applications of Evolutionary Computation (EvoApps 2015). Lecture Notes in Computer Science. Vol. 9028. Copenhagen, Denmark. 8-10 April 2015. pp. 541-553.

  149. Yuyu Liang, Mengjie Zhang, Will Browne. "Genetic Programming based Image Segmentation using Low-level Features". Proceedings of the 18th European Conference on Evolutionary Computation (EvoApps 2015). Lecture Notes in Computer Science. Vol. 9028. Copenhagen, Denmark. 8-10 April 2015. pp. 491-503.

  150. John Park, Su Nguyen, Mengjie Zhang, Mark Johnston. "Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling". Proceedings of the 18th European Conference on Genetic Programming (EuroGP 2015). Lecture Notes in Computer Science. Vol. 9025. Copenhagen, Denmark. 8-10 April 2015. pp. 92-104.

  151. Rachel Hunt, Mark Johnston, Mengjie Zhang. "Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling". Proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP2015), Lecture Notes in Computer Science. Vol. 9026. Copenhagen, Denmark. 8-10 April 2015. pp. 222-233.

  152. Richard Marshall, Mark Johnston, Mengjie Zhang. "Hyper-heuristic Operator Selection and Acceptance Criteria". Proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP2015), Lecture Notes in Computer Science. Vol. 9026. Copenhagen, Denmark. 8-10 April 2015. pp. 99-113.

  153. Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang. "Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems". Proceedings of the 22st International Conference on Neural Information Processing (ICONIP (2) 2015), Lecture Notes in Computer Science. Vol. 8836. Springer. Istanbul, Turkey, November 9-12, 2015. pp. 320-328.

  154. Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch. "Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method". Proceedings of the 21st International Conference on Neural Information Processing (ICONIP (3) 2014), Lecture Notes in Computer Science. Vol. 8836. Springer. Kuching, Malaysia, November 3-6, 2014. pp. 300-307

  155. Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang: Domain Adaptive Neural Networks for Object Recognition. Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014),Lecture Notes in Computer Science, Volume 8862, Gold Coast, QLD, Australia, December 1-5, 2014. pp. 898-904.
  156. Binh Tran, Bing Xue and Mengjie Zhang. "Improved PSO for Feature Selection on High-Dimensional Datasets". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 503-515.

  157. Bing Xue, Wenlong Fu and Mengjie Zhang. "Multi-Objective Feature Selection in Classification: A Differential Evolution Approach". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 516-528.

  158. Richard Marshall, Mark Johnston and Mengjie Zhang. "A Comparison between Two Evolutionary Hyper-heuristics for Combinatorial Optimisation". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 618-630.

  159. Su Nguyen, Mengjie Zhang, Mark Johnston and Kay Chen Tan. "Selection Schemes in Surrogate-assisted Genetic Programming for Job Shop Scheduling". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 656-667.

  160. Richard Marshall, Mark Johnston and Mengjie Zhang. "Developing a Hyper-heuristic using Grammatical Evolution and the Capacitated Vehicle Routing Problem". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 668-679.

  161. Hoai Bach Nguyen, Bing Xue, Ivy Liu and Mengjie Zhang. "PSO and Statistical Clustering for Feature Selection: A New Representation". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 569-581.

  162. Harith Al-Sahaf, Mengjie Zhang and Mark Johnston. "Genetic Programming for Multiclass Texture Classification using a Small Number of Instances". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 335-346.

  163. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Automatic Resolution Selection for Edge Detection using Genetic Programming". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 810-821.

  164. Yang Yu, Hui Ma and Mengjie Zhang. "A Hybrid GP-Tabu Approach to QoS-aware Data Intensive Web Service Composition". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 106-118.

  165. Isidro Alvarez, Will Browne and Mengjie Zhang. "On Learning the Hidden Multiplexer by Reusing Learned Functionality". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 383-394.

  166. Soha Ahmed, Mengjie Zhang, Lifeng Peng and Bing Xue. "Genetic Programming for Measuring Peptide Detectability". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 593-604.

  167. Alexandre Sawczuk Da Silva, Hui Ma and Mengjie Zhang. "A GP Approach to QoS-Aware Web Service Composition and Selection". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 180-191.

  168. John Park, Su Nguyen, Mengjie Zhang and Mark Johnston. "Enhancing Heuristics for Order Acceptance and Scheduling using Genetic Programming". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 723-734.

  169. Binh Tran, Bing Xue and Mengjie Zhang. "Overview of Particle Swarm Optimisation for Feature Selection in Classification". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 605-617.

  170. Yuyu Liang, Mengjie Zhang and Will Browne. "Image Segmentation: A Survey of Methods based on Evolutionary Computation". Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in Computer Science. Vol. 8886. Dunedin, New Zealand. December 15-18, 2014. pp. 847-859.

  171. John P. Lewis, Ken Anjyo, Taehyun Rhee, Mengjie Zhang, Fred Pighin, Zhigang Deng. "Practice and Theory of Blendshape Facial Models". Eurographics (State of the Art Reports). 2014. pp. 199-218

  172. Su Nguyen, Mengjie Zhang, Mark Johnston. "Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming". Proceedings of the 17th European Conference on Genetic Programming (EuroGP 2014). Lecture Notes in Computer Science. Volume 8599. Granada, Spain. April 23-25, 2014. pp. 124-136.

  173. Mitchell C. Lane, Bing Xue, Ivy Liu, Mengjie Zhang. "Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection". Proceedings of the 14th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP2014), Lecture Notes in Computer Science. Volume 8600. Granada, Spain. April 23-25, 2014. pp. 133-144.

  174. Soha Ahmed, Mengjie Zhang, Lifeng Peng. "GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data". Proceedings of the 16th European Conference on the Applications of Evolutionary Computation (EvoApplications 2014), Lecture Notes in Computer Science. Vol. 8602. Granada, Spain. April 23-25, 2014. pp. 915-927.

  175. Yan Dai, Bing Xue, Mengjie Zhang. "New Representations in PSO for Feature Construction in Classification". Proceedings of the 16th European Conference on the Applications of Evolutionary Computation (EvoApplications 2014), Lecture Notes in Computer Science. Vol. 8602. Granada, Spain. April 23-25, 2014. pp. 476-488.

  176. Bing Xue, Su Nguyen, Mengjie Zhang. "A New Binary Particle Swarm Optimisation Algorithm for Feature Selection". Proceedings of the 16th European Conference on the Applications of Evolutionary Computation (EvoApplications 2014), Lecture Notes in Computer Science. Vol. 8602. Granada, Spain. April 23-25, 2014. pp. 501-513.

  177. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?". Proceedings of the 16th European Conference on the Applications of Evolutionary Computation (EvoApplications 2014), Lecture Notes in Computer Science. Vol. 8602. Granada, Spain. April 23-25, 2014. pp. 451-463.

  178. Hai Huang, Hui Ma, Mengjie Zhang. "An Enhanced Genetic Algorithm for Web Service Location-Allocation". Proceedings of the 25th International Conference on Database and Expert Systems Applications -- Part II (DEXA (2) 2014), Lecture Notes in Computer Science. Vol. 8645. Munich, Germany, September 1-4, 2014. pp. 9-17.

  179. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "A MO-GPHH Approach to Dynamic Job Shop Scheduling Problems". Book Chapter on Automated Scheduling and Planning (Neil Urquhart, Sima Etaner-Uyar, Ender Ozcan, eds.), Studies in Computational Intelligence, Springer. 2013. pp. 251-282. Online

  180. Harith Al-Sahaf, Mengjie Zhang and Mark Johnston. "A One-shot Learning Approach to Image Classification using Genetic Programming". Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013). Lecture Notes in Computer Science. Dunedin, New Zealand. 1-6 December 2013. pp. 110-122.

  181. Mitchell C. Lane, Bing Xue, Ivy Liu and Mengjie Zhang. "Particle Swarm Optimisation and Statistical Clustering for Feature Selection". Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013). Lecture Notes in Computer Science. Dunedin, New Zealand. 1-6 December 2013. pp. 214-220.

  182. John Park, Su Nguyen, Mark Johnston and Mengjie Zhang. "Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming". Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013). Lecture Notes in Computer Science. Dunedin, New Zealand. 1-6 December 2013. pp. 478-489.

  183. Anqi Wang, Hui Ma, Mengjie Zhang. "Genetic Programming with Greedy Search for Web Service Composition". Proceedings of the 24th International Conference on Database and Expert Systems Applications -- Part II (DEXA (2) 2013), Lecture Notes in Computer Science. Prague, Czech Republic August 26 - 30, 2013. pp. 9-17.

  184. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Learning Reusable Initial Populations for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming". Proceedings of the 16th European Conference on Genetic Programming (EuroGP 2013). Lecture Notes in Computer Science. Vol. 7831. Vienna, Austria. 3-5 April 2013. pp. 157-168. (Nominated for the Best Paper Award)

  185. Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang. "A Multi-Objective Feature Selection Approach Based on Binary PSO and Rough Set Theory". Proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2013). Lecture Notes in Computer Science. Vol. 7832. Vienna, Austria. 3-5 April 2013. pp. 25-36.

  186. Soha Ahmed, Mengjie Zhang, Lifeng Peng. "Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach". Proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology (EvoBIO 2013). Lecture Notes in Computer Science. Vol. 7833. Vienna, Austria. 3-5 April 2013. pp. 43-55.

  187. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for Automatic Construction of Variant Features in Edge Detection". Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications 2013). Lecture Notes in Computer Science. Vol. 7835. Vienna, Austria, April 3-5, 2013. pp. 354-364.

  188. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming". Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications 2013). Lecture Notes in Computer Science. Vol. 7835. Vienna, Austria, April 3-5, 2013. pp. 365-375. (Nominated for the Best Paper Award)

  189. Bing Xue, Mengjie Zhang, Will N. Browne. "Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification". Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications 2013). Lecture Notes in Computer Science. Vol. 7835. Vienna, Austria, April 3-5, 2013. pp. 428-438.

  190. Bing Xue, Liam Cervante, Lin Shang and Mengjie Zhang. "A Particle Swarm Optimisation Based Multi-Objective Filter Approach to Feature Selection for Classification". Proceeding of the 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012). Lecture Notes in Artificial Intelligence. Vol. 7458. Kuching, Sarawak, Malaysia. 3-7 September 2012. pp. 673-685.

  191. Lin Shang, Haipeng Wang, Xinyu Dai and Mengjie Zhang. "Opinion Target Extraction for Short CommentsOpinion Target Extraction for Short Comments". Proceeding of the 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012). Lecture Notes in Artificial Intelligence. Vol. 7458. Kuching, Sarawak, Malaysia. 3-7 September 2012. pp. 528-539.

  192. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming". Proceedings of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Vol. 7244. Springer. 2012. pp. 121-133. DOI: 10.1007/978-3-642-29139-5_11.

  193. Kourosh Neshatian, Mengjie Zhang. "Improving Relevance Measures Using Genetic Programming". Proceedings of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Vol. 7244. Springer. 2012. pp. 97-108. DOI: 10.1007/978-3-642-29139-5_9.

  194. Muhammad Iqbal, Will Browne and Mengjie Zhang. "XCSR with Computed Continuous Action". Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7691. Springer. Sydney, Australia, December 2012. pp. 350-361.

  195. Ruobing Li, Wenkai Li, Lin Shang, Yang Gao and Mengjie Zhang. "Opponent's Style Modeling Based on Situations for Bayesian Poker". Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7691. Springer. Sydney, Australia, December 2012. pp. 385-396.

  196. Aaron Scoble, Mark Johnston and Mengjie Zhang. "Local Search in Parallel Linear Genetic Programming for Multiclass Classification". Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7691. Springer. Sydney, Australia, December 2012. pp. 373-384

  197. Soha Ahmed, Mengjie Zhang and Lifeng Peng. "Genetic Programming for Biomarker Detection in Mass Spectrometry Data". Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7691. Springer. Sydney, Australia, December 2012. pp. 266-278.

  198. Liam Cervante, Bing Xue, Lin Shang and Mengjie Zhang. "A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory". Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence.Vol. 7691. Springer. Sydney, Australia, December 2012. pp. 313-325.

  199. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection". Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7691. Springer. Sydney, Australia, December 2012. pp. 144-155.

  200. Rachel Hunt, Kourosh Neshatian, Mengjie Zhang. "A Genetic Programming Approach to Hyper-heuristic Feature Selection". Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember 2012. pp. 320-330.

  201. Wenlong Fu, Mark Johnston, Mengjie. "Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection". Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember 2012. pp. 22-31.

  202. Rohitash Chandra, Mengjie Zhang, Lifeng Peng. "Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements". Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember 2012. pp. 178-187.

  203. Juan Rada-Velila, Mengjie Zhang, Winston Seah. "Evaporation Mechanisms for Particle Swarm Optimization". Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember 2012. pp. 238-247

  204. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing using Genetic Programming". Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember 2012. 341-350.

  205. Jingxuan Wei and Mengjie Zhang. "Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization". Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8, 2011. pp. 372-381.

  206. Rachel Hunt, Mark Johnston and Mengjie Zhang. "Improving Robustness in Multi-Objective Genetic Programming for Object Detection". Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8, 2011. pp. 311-320.

  207. Mahdi Setayesh, Mengjie Zhang and Mark Johnston. "Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images". Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8, 2011. pp. 609-618.

  208. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Genetic Programming for Edge Detection Based on Accuracy of Each Training Image". Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8, 2011. pp. 301-310.

  209. Urvesh Bhowan, Mengjie Zhang and Mark Johnston. "Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data". Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8, 2011. pp. 192-202.

  210. Aaron Scoble, Mark Johnston and Mengjie Zhang. "Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming". Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8, 2011. pp. 341-350.

  211. Carlton Downey, Mengjie Zhang. "Parallel Linear Genetic Programming". Proceedings of the 14th European Conference on Genetic Programming. Lecture Notes in Computer Science. Vol. 6621. Springer. Torino, Italy 2011. pp. 178-189. ( Nominated for the Best Paper Award)

  212. Ignas Kukenys, Will Browne, Mengjie Zhang. "Transparent, Online Image Pattern Classication Using a Learning Classier System". Applications of Evolutionary Computation, Lecture Notes in Computer Science. Vol. 6624. Springer. Torino, Italy 2011. pp. 183-193.

  213. Wenlong Fu, Mark Johnston, Mengjie Zhang. "A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation". Applications of Evolutionary Computation, Lecture Notes in Computer Science. Vol. 6624 Springer. Torino, Italy 2011. pp. 173-182.

  214. Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data". Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 6464. Springer. Adelaide, Australia, 2010. pp. 243-252. (Nominated for the Best Student Paper award)

  215. Mahdi Setayesh, Mark Johnston, Mengjie Zhang. "Edge and Corner Extraction using Particle Swarm Optimisation". Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 6464. Springer. Adelaide, Australia, 2010. pp. 323-333.

  216. Rachel Hunt, Mark Johnston, Will Browne, Mengjie Zhang. "Sampling Methods in Genetic Programming for Classification with Unbalanced Data". Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 6464. Springer. Adelaide, Australia, 2010. pp. 273-282.

  217. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Hybrid Particle Swarm Optimisation Algorithms based on Differential Evolution and Local Search". Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 6464. Springer. Adelaide, Australia, 2010. pp. 313-322.

  218. Rohitash Chandra, Marcus Frean, Mengjie Zhang. "An Encoding Scheme for Cooperative Coevolutionary Neural Networks". Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 6464. Springer. Adelaide, Australia, 2010. pp. 253-262.

  219. Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Genetic Programming for Classification with Unbalanced Data". Proceedings of the 13th European Conference on Genetic Programming. Lecture Notes in Computer Science, Vol. 6021. Istanbul, Turkey. 2010. Springer. pp. 1-13.

  220. Mark Johnston, Thomas Liddle, Mengjie Zhang. "A Relaxed Approach to Simplification in Genetic Programming". Proceedings of the 13th European Conference on Genetic Programming. Lecture Notes in Computer Science Vol. 6021. Istanbul, Turkey. 2010. Springer. pp. 110-121.

  221. David Kinzett, Mengjie Zhang, Mark Johnston. "Analysis of Building Blocks with Numerical Simplification in Genetic Programming". Proceedings of the 13th European Conference on Genetic Programming. Lecture Notes in Computer Science. Vol. 6021. Istanbul, Turkey. 2010. Springer. pp. 289-300.

  222. Nor Azlina Ab. Aziz, Ammar Mohemmed, Mengjie Zhang. "Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks". Proceedings of European Conference on the Applications of Evolutionary Computation 2010, the 7th European Event on the Application of Nature-inspired Techniques for Telecommunication Networks and other Parallel and Distributed Systems. Lecture Notes in Computer Science. Vol. 6025. Istanbul, Turkey. 2010. Springer. pp. 51-60.

  223. Mengjie Zhang, Mark Johnston. "A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification". Book chapter of Evolutionary Image Analysis and Signal Processing. Studies in Computational Intelligence. Vol. 213. Chapter 3. Springer. 2009. pp.55-72.

  224. Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Multi-Objective Genetic Programming for Classification with Unbalanced Data". Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence. Vol. 5866, Springer. 2009. pp. 370-380.

  225. Kourosh Neshatian, Mengjie Zhang. "Unsupervised Elimination of Redundant Features Using Genetic Programming". Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence. Vol. 5866. Springer. 2009. pp. 432-442. ( Best Student Paper Award)

  226. Huayang Xie, Mengjie Zhang. "Balancing Parent and Offspring Selection in Genetic Programming". Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence. Vol. 5866. Springer. 2009. pp. 454-464.

  227. Huayang Xie, Mengjie Zhang. "An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-chaining Evolutionary Algorithms". Proceedings of the 4th Australian Conference on Artificial Life (ACAL'09), Lecture Notes in Artificial Intelligence. Vol. 5865. Springer. 2009. pp. 63-72.

  228. Kourosh Neshatian, Mengjie Zhang. "Genetic Programming for Feature Subset Ranking in Binary Classification Problems". Proceedings of the 12th European Conference on Genetic Programming (EuroGP 2009). Lecture Notes in Computer Science. Vol. 5481. Springer, 2009. Tübingen, Germany. pp.121-132.

  229. Ammar Mohemmed, Mengjie Zhang and Mark Johnston. "A PSO Based AdaBoost Approach to Object Detection". Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08). Lecture Notes in Computer Science. Vol. 5361. Springer. 2008. pp. 81-90.

  230. David Kinzett, Mengjie Zhang and Mark Johnston. "Using Numerical Simplification to Control Bloat in Genetic Programming." Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08). Lecture Notes in Computer Science. Vol. 5361. Springer. 2008. pp. 493-502.

  231. Kourosh Neshatian, Mengjie Zhang and Peter Andreae. "Genetic Programming for Feature Ranking in Classification Problems". Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08). Lecture Notes in Computer Science. Vol. 5361. Springer. 2008. pp. 544-554.

  232. Barret Chin, Mengjie Zhang. "Object Detection using Neural Networks and Genetic Programming". Proceedings of EvoIASP08, Lecture Notes in Computer Science. Vol. 4974. Springer. Naple, Italy. March 2008. pp 335-340.

  233. Ammar W Mohemmed, Mengjie Zhang, Nirod Chandra Sahoo. "Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem". Proceedings of the Eighth European Conference on Evolutionary Computation in Combinatorial Optimisation European Conference on Genetic Programming, Lecture Notes in Computer Science. Vol. 4972. Springer. Naple, Italy. March 2008. pp. 25-35.

  234. Kourosh Neshatian, Mengjie Zhang. "Genetic Programming and Class-wise Orthogonal Transformation for Dimension Reduction in Classification Problems." Proceedings of the 11th European Conference on Genetic Programming, Lecture Notes in Computer Science. Vol. 4971. Springer. Naple, Italy. March 2008. pp. 242-253.

  235. Mengjie Zhang. ``Genetic Programming Techniques for Multi-class Object Recognition''. Genetic and Evolutionary Computation for Image Processing and Analysis. Chapter 17. Hindawi Press. 2007. pp. 349-370.

  236. Mengjie Zhang. ``Genetic Algorithms and Neural Networks for Object Detection''. Genetic and Evolutionary Computation for Image Processing and Analysis. Chapter 20. Hindawi Press. 2007. pp.415-440.

  237. Kourosh Neshatian, Mengjie Zhang and Mark Johnston. "Feature Construction and Dimension Reduction Using Genetic Programming". Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence. Vol. 4830. Springer. Gold Coast, Australia. December 2007. pp. 160-170.

  238. Grant Patterson and Mengjie Zhang. "Fitness Functions in Genetic Programming for Classification with Unbalanced Data". Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence. Vol. 4830. Springer. Gold Coast, Australia. December 2007. pp.769-775.

  239. Xiaoying Gao, Le Phong Bao Vuong, Mengjie Zhang. "Automatic Data Record Detection in Web Pages". Proceedings of the Second International Conference on Knowledge Science, Engineering and Management, Lecture Notes in Computer Science. Vol. 4798. Springer. Melbourne, Australia. November 2007. pp. 349-361

  240. Will Smart, Peter Andreae, Mengjie Zhang. "Empirical Analysis of GP Tree-Fragments". Lecture Notes in Computer Science (EuroGP 2007). Vol. 4445, Springer. pp. 55-67.( Nominated for the Best Paper Award)

  241. Mengjie Zhang, Christopher Fogelberg. "Genetic Programming for Image Recognition: An LGP Approach". Lecture Notes in Computer Science (IASP 2007). Vol. 4448, Springer. pp.340-350.

  242. Mengjie Zhang, Xiaoying Gao, Weijun Lou. "GP for Object Classification: Brood Size in Brood Recombination Crossover ". Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science, Vol. 4304, Springer. 2006. pp.274-284.

  243. Xiaoying Gao, Mengjie Zhang, Minh Duc Cao. "TreeWrapper: Automatic Data Extraction based on Tree Representation ". Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science, Vol. 4304, Springer. 2006. pp. 566-576.

  244. Mengjie Zhang, Malcolm Lett. "Localisation Fitness in GP for Object Detection". Lecture Notes in Computer Science, Vol. 3907. Springer. 2006. pp.472-483.

  245. Huayang Xie, Mengjie Zhang, Peter Andreae. "Population Clustering in Genetic Programming ". Lecture Notes in Computer Science, Vol. 3905. Springer. 2006. pp.190-201.

  246. Huayang Xie, Mengjie Zhang, Peter Andreae. "Genetic Programming for Automatic Stress Detection in Spoken English". Lecture Notes in Computer Science, Vol. 3907. Springer. 2006. pp.460-471.

  247. Mengjie Zhang, Xiaoying Gao, Minh Duc Cao and Yuejin Ma. "Modelling Citation Networks for Improving Scientific Paper Classification Performance." Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence. Vol. 4099. Springer, 2006. pp. 413-422.

  248. Mengjie Zhang, Xiaoying Gao, Weijun Lou, Dongping Qian. "Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition" Lecture Notes in Artificial Intelligence. Vol. 4099. Springer, 2006. pp. 923-928.

  249. Mengjie Zhang, Phillip Wong, Dongping Qian. "Online Program Simplification in Genetic Programming". Proceedings of the sixth International Conference on Simulated Evolution and Learning, Lecture Notes in Computer Science, Vol. 4247, Springer. 2006. pp.592-600.

  250. Mengjie Zhang, Malcolm Lett. "Refining Fitness Function and Optimising Training Data in GP for Object Detection". Proceedings of the sixth International Conference on Simulated Evolution and Learning, Lecture Notes in Computer Science, Vol. 4247. Springer. 2006. pp.601-608. (Nominated for the Best Paper Award)

  251. Xiaoying Gao, Mengjie Zhang. "Information Extraction from a Whole Web Site". Proceedings of The fourth International Conference on Active Media Technology, Advances in Intelligent IT: Active Media Technology 2006. Frontiers in Artificial Intelligence and Applications. Vol. 138. IOS Press. pp. 52-57.

  252. Mengjie Zhang. "Mining Small Objects in Large Images Using Neural Networks". Book chapter of Foundation of Data Mining and Knowledge Discovery. Studies in computational intelligence. Vol. 6. Springer, 2005. pp. 289-314.

  253. Christopher Fogelberg, Mengjie Zhang. "Linear Genetic Programming for Multi-class Object Classification". Lecture Notes in Artificial Intelligence, Vol. 3809. Springer. 2005. pp.369-379.

  254. Will Smart, Mengjie Zhang. ``Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems''. Lecture Notes in Computer Science, Vol. 3447. Springer. 2005. pp. 227-239.

  255. Guang Chen, Mengjie Zhang. "Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems". Lecture Notes in Artificial Intelligence, Vol. 3809.Springer. 2005. pp. 1079-1085.

  256. Mengjie Zhang, et al. ``Program Simplification in Genetic Programming for Object Classification''. Lecture Notes in Artificial Intelligence. Vol. 3683. Springer. 2005. pp. 988-997.

  257. Huayang Xie. "Diversity Control in GP with ADF for Regression Tasks". Lecture Notes in Artificial Intelligence, Vol. 3809. Springer. 2005. pp.1253-1257.

  258. Mengjie Zhang, Will Smart. ``Learning weights in GP using gradient descent for object classification''. Lecture Notes in Computer Science. Vol. 3449. Springer. 2005. pp. 417-427. ( Nominated for the Best Paper Award)

  259. Minh Duc Cao, Xiaoying Gao. "Combining Contents and Citations for Scientific Document Classification ". Lecture Notes in Artificial Intelligence, Vol. 3809. Springer. 2005. pp.143-152.

  260. Will Smart, Mengjie Zhang. "Probability Based Genetic Programming for Multiclass Object Classification". In Chengqi Zhang, Hans W. Guesgen, Wai-Kiang Yeap (Eds.): PRICAI 2004: Trends in Artificial Intelligence, Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence. Lecture Notes in Computer Science. Vol. 3157, Springer 2004. pp. 251-261.

  261. Mengjie Zhang, Bunna Ny. "False Alarm Filter in Neural Networks for Multiclass Object Detection". The Eighth Internatioanl Conference on Knowledge Based Intelligent Information and Engineering Systems -- Invited session of Machine and Computer Vision and Neural Networks, Lecture Notes in Artificial Intelligence, Vol. 3214, Springer, 2004. pp. 541-548.

  262. Mengjie Zhang, Peter Andreae, Urvesh Bhowan. "A Two Phase Genetic Programming Approach to Object Detection". The Eighth Internatioanl Conference on Knowledge Based Intelligent Information and Engineering Systems, Lecture Notes in Artificial Intelligence, Vol. 3215, Springer, 2004. pp. 224-231.

  263. Mengjie Zhang, Will Smart. "Multiple Object Classification Using Genetic Programming". Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Sceince, Vol. 3005, 2004. pp. 367-376. ( Nominated for the Best Paper Award)

  264. Mengjie Zhang, Will Smart. "Genetic Programming with Gradient Descent for Multiclass Object Classification". Proceedings of the 7th European Genetic Programming Conference, Lecture Notes in Computer Science. Vol 3003. 2004. pp. 399-408.

  265. Mengjie Zhang, Urvesh Bhowan, "Program Size and Pixel Statistics in Genetic Programming for Object Detection". Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Vol. 3005, 2004. pp. 377-386.

  266. Mengjie Zhang, Peter Andreae, Mark Pritchard, "Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection", Proceeding of the European Conference on Genetic Programming for Image Analysis and Signal Processing, Lecture Notes in Computer Science, Vol. 2611, 2003, pp. 455-466.

  267. Mengjie Zhang and Victor Ciesielski. Genetic Programming for Multiple Class Object Detection. In Proceedings of the 12th Australian Joint Conference on Artificial Intelligence (AI'99) , published in Norman Foo (Ed.) Lecture Notes in Artificial Intelligence (LNAI Vol. 1747) by Springer-Verlag Berlin Heidelberg, pages 180-192. Sydney, Australia, 6-10 December 1999.

  268. Mengjie Zhang and Victor Ciesielski. Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection. In Proceedings of the 10th International Conference on Database and Expert Systems Applications (DEXA'99), Lecture Notes in Computer Science, (LNCS Vol. 1677), Springer-Verlag, pages 626-635. Florence, Italy, August 30 - September 3, 1999.


    Refereed Conference Papers


  269. Shima Afzali Vahed Moghaddam, Bing Xue, Harith Al-Sahaf and Mengjie Zhang. "A Supervised Feature Weighting Method for Salient Object Detection using PSO". Proceedings of 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017). IEEE Press. 2017. 8pp. (To appear)

  270. Emrah Hancer, Bing Xue and Mengjie Zhang. "A Differential Evolution Based Feature Selection Approach Using an Improved Filter Criterion". Proceedings of 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017). IEEE Press. 2017. 8pp. (To appear)

  271. Yu Xue, Jiongming Jiang, Bing Xue and Mengjie Zhang. "A Classification Method based on Self-adaptive Artificial Bee Colony". Proceedings of 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017). IEEE Press. 2017. 8pp. (To appear)

  272. Deepak, Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang. "Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). Berlin, Germnary. 15-19 July, 2017. pp. 282-289.

  273. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Genetic Programming based Feature Construction for Classification with Incomplete Data". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). Berlin, Germnary. 15-19 July, 2017. pp. 1033-1040.

  274. Alexandre Sawczuk da Silva, Yi Mei, Hui Ma and Mengjie Zhang. "Fragment-based Genetic Programming for Fully Automated Multi-Objective Web Service Composition". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). Berlin, Germnary. 15-19 July, 2017. pp. 353-360.

  275. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Multiple Imputation and Genetic Programming for Classification with Incomplete Data". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). Berlin, Germnary. 15-19 July, 2017. pp. 521-528.

  276. Yuxin Liu, Yi Mei, Mengjie Zhang. "Automated Heuristic Design Using Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). Berlin, Germnary. 15-19 July, 2017. pp. 290-297.

  277. Andrew Lensen, Bing Xue, Mengjie Zhang. "GPGC: Genetic Programming for Automatic Clustering using a Flexible Non-Hyper-Spherical Graph-Based Approach". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). Berlin, Germnary. 15-19 July, 2017. pp. 449-456.

  278. Hoai Bach Nguyen, Bing Xue, Hisao Ichibushi, Mengjie Zhang. "Multiple Reference Points MOEA/D for Feature Selection". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19 July, 2017. pp. 157-158.

  279. Yuyu Liang, Mengjie Zhang, Will Browne. "Learning figure-ground image segmentors by genetic programming". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19 July, 2017. pp. 239-240.

  280. Qi Chen, Bing Xue, Mengjie Zhang. "New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19 July, 2017. pp. 223-224.

  281. Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang. "Evolving State Features for Actor-Critic Reinforcement Learning through NEAT". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19 July, 2017. pp. 135-136.

  282. Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Evolving Texture Image Descriptors Using A Multitree Genetic Programming Representation". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19 July, 2017. pp. 219-220.

  283. Andrew Lensen, Bing Xue, Mengjie Zhang. "Improving k-means Clustering with Genetic Programming for Feature Construction". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19 July, 2017. pp. 237-238.

  284. Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie Zhang. "Genetic Programming for Skin Cancer Detection In Dermoscopic Images". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 2420-2427.

  285. Su Nguyen and Mengjie Zhang. "A PSO-based Hyper-heuristic for Evolving Dispatching Rules in Job Shop Scheduling". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 882-889.

  286. Josiah Jacobsen-Grocott, Yi Mei, Gang Chen and Mengjie Zhang. "Evolving Heuristics for Dynamic Vehicle Routing with Time Windows Using Genetic Programming". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 1948-1955.

  287. Damien O'Neill, Harith Al-Sahaf, Bing Xue and Mengjie Zhang. "Common Subtrees in Related Problems: A Novel Transfer Learning Approach for Genetic Programming". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 1287-1294.

  288. Tessa Phillips, Mengjie Zhang and Bing Xue. "Genetic Programming for Solving Common and Domain-independent Generic Recursive Problems". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 1279-1286.

  289. Deepak Karunakaran, Yi Mei, Gang Chen and Mengjie Zhang. "Evolving Dispatching Rules for Dynamic Job Shop Scheduling with Uncertain Processing Times". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 364-371.

  290. Hoai Bach Nguyen, Bing Xue, Peter Andreae and Mengjie Zhang. "Particle Swarm Optimisation with Genetic Operators for Feature Selection". Proceedings of 2017 IEEE Congress on Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9 June, 2017. pp. 286-293.

  291. Yiming Peng, Gang Chen, Mengjie Zhang and Shaoning Pang. "A Sandpile Model for Reliable Actor-Critic Reinforcement Learning". Proceedings of 2017 International Joint Conference on Neural Networks (IJCNN 2017). IEEE Press. Anchorage, Alaska, USA, 14-19 May 2017. pp. 4014-4021.

  292. Qi Chen, Mengjie Zhang and Bing Xue. "Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression". Proceedings of the 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems. Canberra, Australia, November 16-18, 2016. pp. 87-102.

  293. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue and Lam Thu Bui. "Multiple Imputation and Ensemble Learning for Classification with Incomplete Data". Proceedings of the 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems. Canberra, Australia, November 16-18, 2016. pp. 401--415.

  294. Yuyu Liang, Mengjie Zhang and Will Browne. "Feature Construction using Genetic Programming for Figure-ground Image Segmentation". Proceedings of the 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems. Canberra, Australia, November 16-18, 2016. pp. 237-250.

  295. Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang, Sven Hartmann. "Handling Branched Web Service Composition with a QoS-Aware Graph-Based Method". Proceedings of International Conference on Electronic Commerce and Web Technologies (EC-Web 2016). Porto, Portugal, September 5-8, 2016. pp. 154-169.

  296. Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wei Li. "Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation". Proceedings of the 14th European Conference on Computer Vision (ECCV 2016)". Amsterdam, The Netherlands. 11-14 Oct 2016. pp. 597-613.

  297. Yi Mei, Bing Xue and Mengjie Zhang. "Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp. 469-476.

  298. Qi Chen, Mengjie Zhang, and Bing Xue. "Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp. 709-716.

  299. Isidro Alvarez, Will Browne and Mengjie Zhang. "Human-inspired scaling in Learning Classifier Systems: Case study on the n-bit Multiplexer Problem Set". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp. 429-436.

  300. Alexandre S. da Silva, Hui Ma, Mengjie Zhang. "A Graph-based QoS-Aware Method for Web Service Composition with Branching". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO Companion 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp. 131-132.

  301. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO Companion 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp. 69-70.

  302. Yi Mei, Mengjie Zhang, Su Nguyen, "Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming," Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO 2016). ACM Press. Denver, USA, 2016. pp. 365-372.

  303. John Park, Yi Mei, Su Nguyen, Aaron Chen, Mark Johnston, Mengjie Zhang, "Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics," Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO Companion 2016) . ACM Press. Denver, USA, 2016. pp. 109-110.

  304. Mengjie Zhang, Bing Xue. "Evolutionary Computation for Feature Selection and Feature Construction". Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO Companion 2016) . ACM Press. Denver, USA, 2016. pp.. ACM Press. Denver, USA, 2016. pp. 861-881. (Tutorial)

  305. Su Nguyen, Mengjie Zhang and Kay Chen Tan. "Maximising Total Weighted Number of Activities for Reservation with Slack". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3370-3337.

  306. Stefano Cagnoni and Mengjie Zhang. "Evolutionary Computer Vision and Image Processing: some FAQs, Current Challenges and Future Perspectives". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 1267-1271.

  307. Xiu Cheng, Gang Chen and Mengjie Zhang. "An XCS-based Algorithm for Multi-Objective Reinforcement Learning". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 4007-4014.

  308. Francine Burling-Claridge, Muhammad Iqbal and Mengjie Zhang. "Evolutionary Algorithms for Classification of Mammographic Densities using Local Binary Patterns and Statistical Features". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3847-3954.

  309. Cao Truong Tran, Mengjie Zhang and Peter Andreae. "Directly Evolving Classifiers for Missing Data using Genetic Programming". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 5278-5285.

  310. Yuyu Liang, Mengjie Zhang and Will N. Browne. "Figure-ground Image Segmentation and Feature Selection Using Genetic Programming". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3839-3846.

  311. Isidro Alvarez, Will Browne and Mengjie Zhang. "Compaction for Code Fragment Based Learning Classifier Systems - Redux". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 2217-2224.

  312. Yi Mei, Mengjie Zhang, "A Comprehensive Analysis on Reusability of GP-Evolved Job Shop Dispatching Rules". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3590-3597.

  313. Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang, "Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3053-3060.

  314. Michael Riley, Yi Mei, Mengjie Zhang, "Improving Job Shop Dispatching Rules Through Terminal Weighting and Adaptive Mutation in Genetic Programming". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3362-3369.

  315. Alexandre S. da Silva, Yi Mei, Hui Ma, Mengjie Zhang, "A Memetic Algorithm-Based Indirect Approach to Web Service Composition". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp 3385-3392.

  316. Longfei Yan, Yi Mei, Hui Ma, Mengjie Zhang, "Evolutionary Web Service Composition with Graph-based Memetic Algorithm". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 201-208.

  317. Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang, "Many-Objective Genetic Programming for Job-Shop Scheduling". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 209-216.

  318. Bing Xue and Mengjie Zhang, "Evolutionary Computation for Feature Manipulation in Machine Learning and Data Mining". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3061-3067.

  319. Qi Chen, Bing Xue and Mengjie Zhang, "Improving Generalisation of Genetic Programming for High-Dimensional Symbolic Regression with Feature Selection". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3793-3800.

  320. Binh Tran, Mengjie Zhang and Bing Xue, "A PSO Based Hybrid Feature Selection Algorithm For High-Dimensional Classification". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3801-3808.

  321. Edward Haslam, Bing Xue and Mengjie Zhang, "Further Investigation on Genetic Programming with Transfer Learning for Symbolic Regression". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016) . Vancouver, Canada. 24-29 July, 2016. pp. 3598-3605.

  322. Muhammad Iqbal, Mengjie Zhang and Bing Xue, " Transfer Learning in Genetic Programming for Image Classification". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3582-3589.

  323. Tessa Phillips, Mengjie Zhang and Bing Xue, "Genetic Programming for Evolving Programs with Recursive Structures". Proceedings of 2016 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 5044-5051.

  324. Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 147-159.

  325. Boxiong Tan, Hui Ma and Mengjie Zhang. "Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 246-257.

  326. Isidro Alvarez, Will Browne and Mengjie Zhang. "Compaction for Code Fragment Based Learning Classifier Systems". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 41-53.

  327. Yuyu Liang, Mengjie Zhang and Will Browne. "Multi-objective Genetic Programming for Figure-ground Image Segmentation". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 134-146.

  328. Hoai bach Bguyen, Bing Xue and Mengjie Zhang. "Similarity based Multi-objective Particle Swarm Optimisation for Feature Selection in Classification". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 298-310.

  329. Deepak Karunakaran, Gang Chen and Mengjie Zhang. "Parallel Multi-objective Job Shop Scheduling Using Genetic Programming". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 234-245.

  330. Mhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi. "Domain Generalization for Object Recognition with Multi-task Autoencoders”, Proceedings of IEEE International Conference on Computer Vision (ICCV 2015). IEEE Press. 2015. pp. 2551-2559.

  331. Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A Heuristic Solution for Noisy Image Segmentation Using Particle Swarm Optimization and Fuzzy Clustering". Proceedings of the 7th International Joint Conference on Computational Intelligence. Lisbon, Portugal. 12-14 November 2015. pp. 17-27. (Nominated for the Best Paper Award)

  332. Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang and Bing Xue. "A Hybrid Genetic Programming Approach to Feature Detection and Image Classification". Proceedings of 2015 the 30th International Conference on Image and Vision Computing New Zealand (IVCNZ 2015). IEEE Press. Auckland. 23 - 24 Nov 2015.

  333. Wenlong Fu, Mengjie Zhang, Mark Johnston. "Genetic Programming for Extracting Edge Features Using Two Blocks". Proceedings of the Thirteenth Australasian Data Mining Conference . Sydney, Australia. 8-9 August, 2015. 10pp.

  334. Tony Butler-Yeoman, Bing Xue, and Mengjie Zhang. "Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach". Proceedings of the Thirteenth Australasian Data Mining Conference . Sydney, Australia. 8-9 August, 2015. 10pp.
  335. Su Nguyen, Mengjie Zhang, Kay Chen Tan. "A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling". Proceedings of 2015 Genetic and Evolutionary Computation Conference (GECCO 2015). Madrid, Spain. 11-15 July 2015. pp. 433-440.

  336. Harith Al-Sahaf, Mengjie Zhang, Mark Johnston. "Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction". Proceedings of 2015 Genetic and Evolutionary Computation Conference (GECCO 2015). Madrid, Spain. 11-15 July 2015. pp. 975-982.

  337. Cao Truong Tran, Peter Andreae and Mengjie Zhang. "Multiple Imputation for Missing Data using Genetic Programming". Proceedings of 2015 Genetic and Evolutionary Computation Conference (GECCO 2015). Madrid, Spain. 11-15 July 2015. pp. 583-590.

  338. John Park, Su Nguyen, Mark Johnston, Mengjie Zhang. "A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling". Proceedings of 2015 Genetic and Evolutionary Computation Conference (GECCO Companion 2015). Madrid, Spain. 11-15 July 2015. pp. 1451-1452.

  339. Sujan Chowdhury, Brijesh Verma, Mary Tom and Mengjie Zhang. "Pixel Characteristics based Feature Extraction Approach for Roadside Object Detection". Proceedings of 2015 International Joint Conference on Neural Networks (IJCNN2015).. Killarney, Ireland. 12-17 July 2015.

  340. Chahine Koleejan, Bing Xue and Mengjie Zhang, "Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 1204-1211.

  341. Qi Chen, Bing Xue and Mengjie Zhang, "Generalisation and Domain Adaptation in GP with Gradient Descent for Symbolic Regression". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015) . Sendai, Japan. 25-28 May, 2015. pp. 1137-1144.

  342. Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga and Bahriye Akay, "A Multi-Objective ABC Approach to Feature Selection using Fuzzy Mutual Information". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan, 25-28 May, 2015. pp. 2420-2427.

  343. Tony Butler-Yeoman, Bing Xue and Mengjie Zhang, "Particle Swarm Optimisation for Feature Selection: A Hybrid Filter-Wrapper Approach". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. 2428-2435.

  344. Cao Truong Tran, Peter Andreae and Mengjie Zhang. "Impact of Imputation of Missing Values on Genetic Programming based Multiple Feature Construction for Classification". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 2398-2405.

  345. Su Nguyen, Zhang Mengjie and Kay Chen Tan. "Enhancing Genetic Programming based Hyper-Heuristics for Dynamic Multi-objective Job Shop Scheduling Problems". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 2781-2788.

  346. Yang Yu, Hui Ma and Mengjie Zhang. "F-MOGP: A Novel Many-Objective Evolutionary Approach to QoS-Aware Data Intensive Web Service Composition". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 2843-2850.

  347. Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang and Brijesh Verma. "Genetic Programming for Algae Detection in River Images". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 2468-2475.

  348. Alexandre Sawczuk da Silva, Hui Ma and Mengjie Zhang. "A GP Approach to QoS-Aware Web Service Composition including Conditional Constraints". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 2113-2120.

  349. Harith Al-Sahaf, Mengjie Zhang, Mark Johnston and Brijesh Verma. "Image Descriptor: A Genetic Programming Approach to Multiclass Texture Classification". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. pp. 2460-2467. (The Overall Best Paper Award, out of over 700 submissions)

  350. Peter McLeod, Brijesh Verma, Mengjie Zhang: Optimizing configuration of neural ensemble network for breast cancer diagnosis. Proceedgins of the 2014 International Joint Conference on Neural Networks (IJCNN 2014). IEEE. Beijing, China. 2014. 1087-1092.

  351. Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang: Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism. Proceedings of 22nd International Conference on Pattern Recognition (ICPR 2014). IEEE Press. Stockholm, Sweden. 2014. pp. 3428-3433.

  352. Stephen Bennett, Su Nguyen and Mengjie Zhang. "A Hybrid Discrete Particle Swarm Optimisation Method for Grid Computation Scheduling". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 483-490.

  353. Hoai Bach Nguyen. Bing Xue, Ivy Liu and Mengjie Zhang. "Filter based Backward Elimination in Wrapper based PSO for Feature Selection in Classification". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp.3111-3118.

  354. Rachel Hunt, Mark Johnston and Mengjie Zhang. "Evolving Machine-Specific Dispatching Rules for a Two-Machine Job Shop using Genetic Programming". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 618-625.

  355. Bing Xue, A. K. Qin and Mengjie Zhang. "An Archive based Particle Swarm Optimisation for Feature Selection in Classification". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 3119-3126.

  356. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Unsupervised Learning for Edge Detection using Genetic Programming". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp.117-124.

  357. Yang Yu, Hui Ma and Mengjie Zhang. "A Genetic Programming Approach to Distributed QoS-aware Web Service Composition". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 1840-1846.

  358. Alexandre Sawczuk da Silva, Hui Ma and Mengjie Zhang. "A Graph-Based Particle Swarm Optimisation Approach to QoS-Aware Web Service Composition and Selection". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 3127-3134.

  359. Soha Ahmed, Mengjie Zhang and Lifeng Peng. "A New GP-based Wrapper Feature Construction Approach to Classification and Biomarker Identification". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 2756-2763.

  360. Su Nguyen, Mengjie Zhang and Mark Johnston. "A Sequential Genetic Programming Method to Learn Forward Construction Heuristics for Order Acceptance and Scheduling". Proceedings of 2014 IEEE Congress on Evolutionary Computation. IEEE Press. Beijing, China. July 6-11. 2014. pp. 1824-1831.

  361. Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue. "Multiple Feature Construction for Effective Biomarker Identification and Classification using Genetic Programming". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 249-256.

  362. Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Three-Cornered Coevolution Learning Classifier Systems for Classification Tasks". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 549-556.

  363. Rachel Hunt, Mark Johnston, Mengjie Zhang. "Evolving "Less-Myopic" Scheduling Rules for Dynamic Job Shop Scheduling with Genetic Programming". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 927-934. (Nominated for the Best Paper Award -- GP Track)

  364. Muhammad Iqbal, Syed Saud Naqvi, Will Browne, Christopher Hollitt, Mengjie Zhang. "Salient Object Detection Using Learning Classifier Systems that Compute Action Mappings". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 525-532. (Best Paper Award -- EML Track)

  365. Bing Xue, Wenlong Fu, Mengjie Zhang. "Differential evolution (DE) for Multi-objective Feature Selection in Classification". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014 Companion). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 83-84.

  366. Richard Marshall, Mark Johnston, Mengjie Zhang. "Hyper-Heuristics, Grammatical Evolution and the Capacitated Vehicle Routing Problem". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014 Companion). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 71-72.

  367. Soha Ahmed, Mengjie Zhang, Lifeng Peng. "Peptide Detection Prediction of MS data using Genetic Programming". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014 Companion). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 37-38.

  368. Isidro M. Alvarez, Will N. Browne, Mengjie Zhang. "Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features". Proceedings of 2014 Genetic and Evolutionary Computation Conference (GECCO 2014 Companion, IWLCS 2014). ACM Press. Vancouver, Canada. July 12-16, 2014. pp. 969-976.

  369. Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang. "Deep Hybrid Networks with good out-of-sample object recognition". 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014). IEEE Press. Florence, Italy. 2014. pp. 5437 - 5441.

  370. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Investigation of Low-level Edge Feature Extraction using Three Blocks". Proceedings of 2013 the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 293-298.

  371. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Gaussian Mixture Models and Information Entropy for Image Segmentation using Particle Swarm Optimisation". Proceedings of 2013 the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 328-333.

  372. Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A New Image Segmentation Algorithm Based on Modified Seeded Region Growing and Particle Swarm Optimization". Proceedings of 2013 the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 382-387.

  373. Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A feature-based region growing-merging approach to color image segmentation". Proceedings of 2013 the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 376-381.

  374. Muhammad Ghifary, W. Bastiaan Kleijn and Mengjie Zhang. "Sparse Features in Deep Learning for Noise-Robust Digit Classification". Proceedings of 2013 the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ2013). IEEE Press. Wellington. 2013. pp. 340-345.

  375. Harith Al-Sahaf, Mengjie Zhang and Mark Johnston. "Binary Image Classification Using Genetic Programming Based on Local Binary Patterns". Proceedings of 2013 the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 220-225.

  376. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Triangular-Distribution-Based Feature Construction Using Genetic Programming for Edge Detection". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 1732--1739.

  377. Roman Klapaukh, Will Browne and Mengjie Zhang. "The Effect of Primitive Sets on the Expression of Evolved Images". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 725--732.

  378. John Park, Su Nguyen, Mengjie Zhang and Mark Johnston. "Genetic Programming for Order Acceptance and Scheduling". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 1005-1012.

  379. Liam Cervante, Bing Xue, Lin Shang and Mengjie Zhang. "Binary Particle Swarm Optimisation and Rough Set Theory for Dimension Reduction in Classification". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2428--2435.

  380. Aneta Stevanovic, Bing Xue and Mengjie Zhang. "Feature Selection Based on PSO and Decision-Theoretic Rough Set Model". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2840--2847.

  381. Yang Yu, Hui Ma and Mengjie Zhang. "An Adaptive Genetic Programming Approach to QoS-aware Web Services Composition". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 1740--1747.

  382. Juan Rada-Vilela, Mengjie Zhang and Mark Johnston. "Resampling in Particle Swarm Optimization". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 947--954.

  383. Soha Ahmed, Mengjie Zhang and Lifeng Peng. "Enhanced Feature Selection for Biomarker Discovery in LC-MS Data using GP". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 584--591.

  384. Muhammad Iqbal, Will N. Browne and Mengjie Zhang. "Learning Overlapping Natured and Niche Imbalance Boolean Problems Using XCS Classifier Systems". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 1818--1825.

  385. Aaron Scoble, Mengjie Zhang, Will Browne, Zane Bruce and Bill Stephenson. "Evolutionary Spatial Auto-Correlation for Assessing Earthquake Liquefaction Potential using Parallel Linear Genetic Programming". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2940--2947.

  386. Harith Al-Sahaf, Andy Song and Mengjie Zhang. "Hybridisation of Genetic Programming and Nearest Neighbour for Classification". Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2650--2657.

  387. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Comparison of Two Methods to Compute Action Value in XCS with Code-Fragment Action". Proceedings of the Sixteenth International Workshop on Learning Classifier Systems (IWLCS 2013), GECCO (Companion) 2013. Amsterdam, The Netherlands. July 06-10, 2013. pp. 1235-1242.

  388. Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Adaptive Artificial Datasets Through Learning Classifier Systems for Classification Tasks". Proceedings of the Sixteenth International Workshop on Learning Classifier Systems (IWLCS 2013), GECCO (Companion) 2013. Amsterdam, The Netherlands. July 06-10, 2013. pp. 1243-1250.

  389. Bing Xue, Mengjie Zhang, Yan Dai, Will Browne. "PSO for Feature Construction and Binary Classification". Proceedings of 2013 Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands. July 06-10, 2013. pp. 137-144.

  390. Juan Rada-Velila, Mark Johnston, Mengjie Zhang. "Optimal Computing Budget Allocation in Particle Swarm Optimization". Proceedings of 2013 Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands. July 06-10, 2013. pp. 81-88.

  391. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for Edge Detection using Multivariate Density". Proceedings of 2013 Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands. July 06-10, 2013. pp. 917-924. (Nominated for the Best Paper Award --- GP Track)

  392. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Extending Scalable Learning Classifier System with Cyclic Graphs to Solve Complex, Large-Scale Boolean Problems". Proceedings of 2013 Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands. July 06-10, 2013. pp. 1045-1052 ( Best Paper Award --- GBML Track)

  393. Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Adaptive Artificial Datasets to Discover the Effects of Domain Features for Classification Taks". Proceedings of 2013 Genetic and Evolutionary Computation Conference (GECCO Companion 2013). Amsterdam, The Netherlands. July 06-10, 2013. pp. 157-158.

  394. Urvesh Bhowan, Mark Johnston, Mengjie Zhang. "Comparing Ensemble Learning Approaches in Genetic Programming for Classification with Unbalanced Data". Proceedings of 2013 Genetic and Evolutionary Computation Conference (GECCO Companion 2013). Amsterdam, The Netherlands. July 06-10, 2013. pp. 135-136.

  395. Samuel Hindmarsh, Peter Andreae and Mengjie Zhang. "Genetic Programming for Improving Image Descriptors Generated Using the Scale-Invariant Feature Transform". Proceedings of the 27th International Conference on Image and Vision Computing New Zealand. ACM Press. Dunedin, New Zealand. 26-28 November 2012.

  396. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Multi-Frequency Transformation for Edge Detection". Proceedings of the 27th International Conference on Image and Vision Computing New Zealand. ACM Press. Dunedin, New Zealand. 26-28 November 2012.

  397. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for Edge Detection Based on Figure of Merit". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO (Companion) 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 1483-1484.

  398. Toktam Ebadi, Will N. Browne, Mengjie Zhang. "XCS-based versus UCS-based Feature Pattern Classification System". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 839-846.

  399. Muhammad Iqbal, Will N. Browne, Mengjie Zhang. "Extracting and Using Building Blocks of Knowledge in Learning Classifier Systems". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 863-870.

  400. Syahaneim Marzukh, Will N. Browne, Mengjie Zhang. "Two-Cornered Learning Classifier Systems for Pattern Generation and Classification". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 895-902.

  401. Bing Xue, Mengjie Zhang, Will N. Browne. "Multi-Objective Particle Swarm Optimisation (PSO) for Feature Selection". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 81-88.

  402. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for Edge Detection Using Blocks to Extract Features". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 855-862.

  403. Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A Spatial Random-Meaningful Neighbourhood Topology in PSO for Edge Detection in Noisy Images". Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO (Companion) 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 1403-1404.

  404. Harith Al-Sahaf, Andy Song, Kourosh Neshatian and Mengjie Zhang. "Extracting Image Features for Classification By Two-Tier Genetic Programming". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 567-574.

  405. Fahmi Abdulhamid, Andy Song, Kourosh Neshatian and Mengjie Zhang. "Evolving Genetic Programming Classifiers with Loop Structures". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 2581-2588.

  406. Mahdi Setayesh, Mengjie Zhang and Mark Johnston. "Effects of Static and Dynamic Topologies in Particle Swarm Optimisation for Edge Detection in Noisy Images". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 8-15.

  407. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Genetic Programming for Edge Detection via Balancing Individual Training Images". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 2597-2604.

  408. Liam Cervante, Bing Xue and Mengjie Zhang. "Binary Particle Swarm Optimisation for Feature Selection: A Filter Based Approach". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 881-888.

  409. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Soft Edge Maps From Edge Detectors Evolved by Genetic Programming". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 24-31.

  410. Rachel Hunt, Kourosh Neshatian and Mengjie Zhang. "Scalability Analysis of Genetic Programming Classifiers". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 1416-1422.

  411. Su Nguyen, Mengjie Zhang, Mark Johnston and Tan Kay Chen. "A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 3261-3268.

  412. Juan Rada-Vilela, Mengjie Zhang and Winston Seah. "A Performance Study on the Effects of Noise and Evaporation in Particle Swarm Optimization". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 873-880.

  413. Bing Xue, Mengjie Zhang and Will N. Browne. "New Fitness Functions in Binary Particle Swarm Optimisation for Feature Selection". Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE Press. 2012. pp. 2145-2152.

  414. Bing Xue, Mengjie Zhang, Will N. Browne. "Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection". Proceedings of the Thirty-Fifth Australasian Computer Science Conference (ACSC 2012). Melbourne, Australia. 30 Jan - 2 Feb 2012. pp. 27-36.

  415. Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang. "Two-tier Genetic Programming for Automatic Feature Extraction, Feature Selection and Image Classification". Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec 2011. pp. 109-114.

  416. Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang. "Image Recognition using Genetic Programming with Loop Structures". Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec 2011. pp. 553-558.

  417. Wenlong Fu, Mark Johnston, Mengjie Zhang. "Analysis of Diagonal Derivatives in Edge Detectors Evolved by Genetic Programming". Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec 2011. pp. 345-350.

  418. Mahdi Setayesh, Mark Johnston, Mengjie Zhang. "A Novel Local Thresholding Technique in PSO for Detecting Continuous Edges in Noisy Images". Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec 2011. pp. 333-339.

  419. Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang. "Automatic Feature Extraction And Image Classification Using Genetic Programming". Proceedings of the 5th International Conference on Automation, Robots and Applications (ICARA 2011). IEEE Press. Wellington, New Zealand. December 6-8 2011. pp. 157-162.

  420. Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang. "Genetic Programming for Evolving Programs with Loop Structures for Classification Tasks". Proceedings of the 5th International Conference on Automation, Robots and Applications (ICARA 2011). IEEE Press. Wellington, New Zealand. December 6-8 2011. pp. 202-207.

  421. Juan Rada-Vilela, Mengjie Zhang, Winston Seah. "Random Asynchronous PSO". Proceedings of the 5th International Conference on Automation, Robots and Applications (ICARA 2011). IEEE Press. Wellington, New Zealand. December 6-8 2011. pp. 220-225.

  422. Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang. "Developing An Evolvable Pattern Generator Using Learning Classifier Systems". Proceedings of the 5th International Conference on Automation, Robots and Applications (ICARA 2011). IEEE Press. Wellington, New Zealand. December 6-8 2011. pp. 163-168.

  423. Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Evolving Ensembles in Multi-objective Genetic Programming for Classification with Unbalanced Data". Proceeding of Genetic and Evolutionary Computation Conference (GECCO'11), ACM Press. 2011. pp. 1331-1338.

  424. Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "Detection of Continuous Smooth and Thin Edges in Noisy Images Using Constrained Particle Swarm Optimisation". Proceeding of Genetic and Evolutionary Computation Conference (GECCO'11), ACM Press. 2011. pp. 45-52.

  425. Juan Rada-Vilela, Mengjie Zhang, Winston Seah. "A performance study on synchronous and asynchronous updates in particle swarm optimization". Proceeding of Genetic and Evolutionary Computation Conference (GECCO'11), ACM Press. 2011. pp. 21-28.

  426. Su Nguyen, Mengjie Zhang, Mark Johnston. "A Genetic Programming Based Hyper-heuristic Approach for Combinatorial Optimisation". Proceeding of Genetic and Evolutionary Computation Conference (GECCO'11), ACM Press. 2011. pp. 1299-1306.

  427. Wenlong F, Mark Johnston, Mengjie Zhang. "Hybrid Particle Swarm Optimisation Based on History Information Sharing". Proceeding of Genetic and Evolutionary Computation Conference (GECCO'11), ACM Press. 2011. pp. 77-84.

  428. Carlton Downey, Mengjie Zhang. "Caching for Parallel Linear Genetic Programming". Proceeding of Genetic and Evolutionary Computation Conference. GECCO (Companion) 2011, ACM Press. pp. 201-202.

  429. Ignas Kukenys, Will Browne, Mengjie Zhang. "Confusion Matrices for Improving Performance of Feature Pattern Classifier Systems". Proceeding of Genetic and Evolutionary Computation Conference. GECCO (Companion) 2011, ACM Press. 2011. pp. 181-182.

  430. Jingxuan Wei, Mengjie Zhang. "Attraction Based PSO with Sphere Search for Dynamic Constrained Multi-Objective Optimization Problems". Proceeding of Genetic and Evolutionary Computation Conference. GECCO (Companion) 2011. ACM Press. pp. 77-78.

  431. Muhammad Iqbal, Will Browne, Mengjie Zhang. "Automatically Defined Functions for Learning Classifier Systems". The Fourteenth International Workshop on Learning Classifier Systems. Proceeding of Genetic and Evolutionary Computation Conference. GECCO (Companion) 2011, ACM Press. pp. 375-382.

  432. Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "Edge Detection Using Constrained Discrete Particle Swarm Optimisation in Noisy Images". Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 246-253.

  433. Jingxuan Wei and Mengjie Zhang. "A Memetic Particle Swarm Optimization for Constrained Multi-objective Optimization Problems". Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 1635-1642.

  434. Wenlong Fu, Mark Johnston and Mengjie Zhang. "Genetic Programming For Edge Detection: A Global Approach". Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 254-261.

  435. Carlton Downey and Mengjie Zhang. "Execution Trace Caching for Linear Genetic Programming". Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 1191-1198.

  436. Daniel Atkins, Kourosh Neshatian and Mengjie Zhang. "A Domain Independent Genetic Programming Approach to Automatic Feature Extraction for Image Classification". Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 238-245.

  437. Anna Friedlander, Kourosh Neshatian and Mengjie Zhang. "Meta-Learning and Feature Ranking Using Genetic Programming for Classification: Variable Terminal Weighting". Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 940-947.

  438. Rohitash Chandra, Marcus Frean and Mengjie Zhang. "Modularity Adaptation in Cooperative Coevolution of Feedforward Neural Networks". Proceedings of 2011 the International Joint Conference on Neural Networks (IJCNN 2011). IEEE Press. San Jose, California. July 31 - August 5, 2011. pp. 681-688.

  439. Rohitash Chandra, Marcus Frean and Mengjie Zhang. "A Memetic Framework for Cooperative Coevolution of Recurrent Neural Networks". Proceedings of 2011 the International Joint Conference on Neural Networks (IJCNN 2011). IEEE Press. San Jose, California. July 31 - August 5, 2011. pp. 673-680.

  440. Lee Macri, Will Browne, and Mengjie Zhang. "Particle Swarm Optimisation Based AdaBoost for Facial Expression Classication of Still Images". Proceedings of the 25th International Conference of Image and Vision Computing New Zealand. IEEE. Queenstown, New Zealand, 2010. 8pp.

  441. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Improving Edge Detection Using Particle Swarm Optimisation". Proceedings of the 25th International Conference of Image and Vision Computing New Zealand. IEEE. Queenstown, New Zealand, 2010. 8pp.

  442. David Kinzett, Mengjie Zhang and Mark Johnston. "Investigation of Simplification Threshold and Noise Level of Input Data in Numerical Simplification of Genetic Programs". Proceedings of 2010 IEEE Congress on Evolutionary Computation. Barcelona, Spain. 2010. IEEE. pp. 3065-3072.

  443. Thomas Liddle, Mark Johnston and Mengjie Zhang. "Multi-Objective Genetic Programming for Object Detection". Proceedings of 2010 IEEE Congress on Evolutionary Computation. Barcelona, Spain. 2010. IEEE. pp.3345-3352.

  444. Jan Larris, Mengjie Zhang and Will Browne. "Using Unrestricted Loops in Genetic Programming for Image Classification". Proceedings of 2010 IEEE Congress on Evolutionary Computation. Barcelona, Spain. 2010. IEEE. pp. 4600-4607.

  445. Daniel Atkins, Will Browne and Mengjie Zhang. "Evolution of Aesthetically Pleasing Art Without Human-In-The-Loop". Proceedings of 2010 IEEE Congress on Evolutionary Computation. Barcelona, Spain. 2010. IEEE. pp. 2194-2201.

  446. Andy Song, Dunhai Chen and Mengjie Zhang. "Contribution Based Bloat Control in Genetic Programming". Proceedings of 2010 IEEE Congress on Evolutionary Computation. Barcelona, Spain. 2010. IEEE. pp. 1725-1732.

  447. Carlton Downey, Mengjie Zhang, Will Browne. "New Crossover Operators in Linear Genetic Programming for Multiclass Object Classification". Proceedings of 2010 Genetic and Evolutionary Computation Conference.. Portland, USA. 2010. ACM. pp. 885-892.

  448. Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "AUC Analysis of the Pareto-Front using Multi-objective GP for Classification with Unbalanced Data". Proceedings of 2010 Genetic and Evolutionary Computation Conference.. Portland, USA. 2010. ACM. pp.845-852.

  449. Ammar Mohemmed, Mengjie Zhang, Will Browne. "Particle Swarm Optimisation for Outlier Detection". Proceedings of 2010 Genetic and Evolutionary Computation Conference.. Portland, USA. 2010. ACM. pp.83-84.

  450. Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Genetic Programming for Image Classification with Unbalanced Data". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 316-321.

  451. Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A new homogenity-based approach to edge detection using PSO". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 231-236.

  452. Kourosh Neshatian, Mengjie Zhang. "Dimensionality Reduction in Face Detection: A Genetic Programming Approach". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 391-396.

  453. Carlton Downey, Mengjie Zhang. "Multiclass Object Classification for Computer Vision using Linear Genetic Programming". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 73-78.

  454. Rohitash Chandra, Mengjie Zhang and Luc Rolland. "A Hybrid Meta-Heuristic Approach to the Forward Kinematics of 3RPR Planar Parallel Manipulator". Proceedings of the 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA2009). 2009. IEEE Press. pp. 177-182

  455. Mengjie Zhang, Stefano Cagnoni, Gustavo Olague. "GECCO 2009 Tutorial: Evolutionary Computer Vision". Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference. ACM Press. 2009. pp. 3355-3380. ISBN: 978-1-60558-505-5.

  456. Kourosh Neshatian, Mengjie Zhang. "Pareto Front Feature Selection: Using Genetic Programming to Explore the Feature Space". Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation Conference (GECCO 2009). ACM Press. 2009. pp. 1027-1034. ISBN:978-1-60558-325-9

  457. David Kinzett, Mark Johnston, Mengjie Zhang. "How Online Simplification Affects Building Blocks in Genetic Programming". Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation Conference (GECCO 2009). ACM Press. 2009. pp. 979-986. ISBN:978-1-60558-325-9

  458. Ammar Mohhemed, Mark Johnston, Mengjie Zhang. "Particle Swarm Optimization Based Multi-prototype Ensembles". Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation Conference (GECCO 2009). ACM Press. 2009. pp. 57-64. ISBN:978-1-60558-325-9. ( Nominated for the Best Paper Award)

  459. Andy Song, Dunhai Chen, Mengjie Zhang. "Bloat Control by Evaluating Contribution of Nodes". Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation Conference (GECCO 2009). ACM Press. 2009. pp. 1893-1894. ISBN:978-1-60558-325-9.

  460. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Differentiating Between Individual Class Performance in Genetic Programming Fitness for Classification with Unbalanced Data". Proceedings of the 2009 IEEE Congress on Evolutionary Computation. IEEE Press. 2009. pp. 2802 - 2809.

  461. Ammar Mohemmed, Mengjie Zhang and Mark Johnston. "Particle Swarm Optimization Based Adaboost for Face Detection". Proceedings of the 2009 IEEE Congress on Evolutionary Computation. IEEE Press. 2009. pp. 2494 - 2501.

  462. Hamish Evans and Mengjie Zhang. "Particle Swarm Optimisation for Object Classification". 23rd International Conference Image and Vision Computing New Zealand. IEEE Press. 2008. pp.1-6. DOI: 10.1109/IVCNZ.2008.4762143. ISBN: 978-1-4244-3780-1

  463. Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston, "An Analysis of Multi-Sampled Issue and No-Replacement Tournament Selection", Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2008) , ACM Press. Atlanta, USA, July 2008. pp. 1323-1330.

  464. Ammar W Mohemmed, Mengjie Zhang. "Evaluation of Particle Swarm Optimization Based Centroid Classifier with Different Distance Metrics". Proceedings of the 2008 IEEE Congress on Evolutionary Computation.. IEEE Press. Hong Kong. June 2008. pp. 2934-2937.

  465. Will Smart, Mengjie Zhang. "Empirical Analysis of Schemata in Genetic Programming using Maximal Schemata and MSG". Proceedings of the 2008 IEEE Congress on Evolutionary Computation.. IEEE Press. Hong Kong. June 2008. pp. 2988-2995.

  466. Phillip Wong, Mengjie Zhang. "SCHEME: Caching Subtrees in Genetic Programming". Proceedings of the 2008 IEEE Congress on Evolutionary Computation.. IEEE Press. Hong Kong. June 2008. pp. 2683-2690.

  467. Huayang Xie, Mengjie Zhang, Peter Andreae and Mark Johnston. "Is the Not-Sampled Issue in Tournament Selection Critical?". Proceedings of the 2008 IEEE Congress on Evolutionary Computation.. IEEE Press. Hong Kong. June 2008. pp. 3711-3718.

  468. Kourosh Neshatian and Mengjie Zhang. "Genetic Programming for Performance Improvement and Dimensionality Reduction of Classification Problems". Proceedings of the 2008 IEEE Congress on Evolutionary Computation.. IEEE Press. Hong Kong. June 2008. pp. 2816-2823.

  469. Huayang Xie, Mengjie Zhang, Peter Andreae. "An Analysis of the Distribution of Swapped Subtree Sizes in Tree-based Genetic Programming". Proceedings of the 2008 IEEE Congress on Evolutionary Computation.. IEEE Press. Hong Kong. June 2008. pp. 2864-2971.

  470. Krzysztof Krawiec, Daniel Howard, Mengjie Zhang. "Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques". Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007). IEEE Press. Jeju Island, Korea, October 11-13, 2007. pp. 779-784.

  471. Huayang Xie, Mengjie Zhang, Peter Andreae. "Genetic Programming for New Zealand CPI Inflation Prediction". Proceedings of the 2007 IEEE Congress on Evolutionary Computation. IEEE Press. Singapore. 2007. pp. 2538-2545.

  472. Huayang Xie, Mengjie Zhang, Peter Andreae. "An Analysis of Depth of Crossover Points in Tree-based Genetic Programming". Proceedings of the 2007 IEEE Congress on Evolutionary Computation. IEEE Press. Singapore. 2007. pp. 4561-4568.

  473. Phillip Wong, Mengjie Zhang. "Effects of Program Simplification on Simple Building Blocks in Genetic Programming ". Proceedings of the 2007 IEEE Congress on Evolutionary Computation. IEEE Press. Singapore. 2007. pp. 1570-1577.

  474. Huayang Xie, Mengjie Zhang, Peter Andreae. "Another Investigation on Tournament Selection: Modeling and Visualisation". Genetic and Evolutionary Computation Conference (GECCO'07). ACM Press. 2007. pp. 1468-1475.

  475. Huayang Xie, Mengjie Zhang, Peter Andreae. "An Analysis of Constructive Crossover and Selection Pressure in Genetic Programming". Genetic and Evolutionary Computation Conference (GECCO'07). ACM Press. 2007. pp. 1739-1746.

  476. Phillip Wong, Mengjie Zhang. "Numerical-Node Building Block Analysis of Genetic Programming with Simplification". Genetic and Evolutionary Computation Conference (GECCO'07). ACM Press. 2007. pp. 1761.

  477. Le Phone Bao Vuong, Xiaoying Gao, Mengjie Zhang. "Data Extraction from Semi-structured Web Pages by Clustering". Web Intelligence 2006: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong. IEEE Press. 2006. pp.374-377.

  478. Ji Qian, Dongping Qian, Mengjie Zhang. "A Digit Recognition System for Paper Currency Ifentification Based on Virtual Instruments". Proceedings of the 2nd International Conference on Information Automation (ICIA'06). IEEE Press. 2006. pp228-233.

  479. Mengjie Zhang. "Genetic Programming for Object Detection." Proceedings of the 21th International Conference on Image and Vision Computing New Zealand. Great Barrier Island, New Zealand. pp. 435-440.

  480. Phillip Wong, Mengjie Zhang. "Algebraic Simplification of GP Programs during Evolution". Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO 2006). ACM Press. pp. 927-934.

  481. Mengjie Zhang, Xiaoying Gao and Weijun Lou. "Looseness Controlled Crossover in GP for Object Classification". Proceedings of IEEE Congress on Evolutionary Computation, a part of IEEE Congress on Computational Intelligence. Vancouver BC, Canada. IEEE Press. 2006. pp.4428-4435.

  482. Huayang Xie, Mengjie Zhang and Peter Andreae. "A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming". Proceedings of IEEE Congress on Evolutionary Computation, a part of IEEE Congress on Computational Intelligence. Vancouver BC, Canada. IEEE Press. 2006. pp.9211-9218.

  483. Mengjie Zhang, et al. "Neural Networks for Scientific Paper Classification". Proceedings of the 2006 IEEE International Conference on Innovative Computing, Information and Control. IEEE Press. Beijing, August, 2006. Vol. 2, pp 51-54.

  484. Huayang Xie, Mengjie Zhang. "Automatic Selection Pressure Control in Genetic Programming". Proceedings of the sixth International Conference on Intelligent System Design and Applications. IEEE Press. 2006. pp. 435-440.

  485. Yun Zhang, Mengjie Zhang. ``A Multiple-Output Program Tree Structure in Genetic Programming''. In R. McKay, ed., Proceedings of 2004 Asia-Pacific Workshop on Genetic Programming. December 2004. 12pp.

  486. Will Smart, Mengjie Zhang. ``Continuously Evolving Programs in Genetic Programming Using Gradient Descent''. In R. McKay, ed., Proceedings of 2004 Asia-Pacific Workshop on Genetic Programming. December 2004. 16pp.

  487. Will Smart, Mengjie Zhang. "Tracking Object Positions in Real-time Video using Genetic Programming". In Proceeding of Image and Vision Computing International Conference, 2004. pp. 113-118.

  488. Malcolm Lett, Mengjie Zhang. "New Fitness Functions in Genetic Programming for Object Detection". In Proceeding of Image and Vision Computing International Conference, 2004. pp. 441-446.

  489. Yun Zhang, Mengjie Zhang. "A New Program Structure in Genetic Programming for Object Classification". In Proceeding of Image and Vision Computing International Conference, 2004. pp. 459-465.

  490. Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Warren. "Learning Models for English Speech Recognition". Australian Computer Science Communications (Computer Science, CRPIT 26), Vol. 26, , No. 1. 2004. pp. 323-330.

  491. Will Smart, Mengjie Zhang. "Applying Gradient Descent Search to Genetic Programming for Object Recognition". Australian Computer Science Communications (Data mining, CRPIT 32), Vol. 26, No. 7, 2004. pp.133-138.

  492. Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Warren. "Detecting Stress in Spoken English Using Decision Trees and Support Vector Machines". Australian Computer Science Communications (Data Mining, CRPIT 32), Vol. 26, No. 7, 2004. pp. 145-150.

  493. Will Smart, Mengjie Zhang. "Classification Strategies for Image Classification in Genetic Programming". Proceeding of Image and Vision Computing Conference, Palmerston North, 2003. pp. 402-407.

  494. Xiaoying Gao, Mengjie Zhang and Peter Andreae, "Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling". Proceedings of the IEEE International Conference on Web Intelligence, Halifax, Canada. 2003. pp. 495-498.

  495. Xiaoying Gao, Mengjie Zhang. "Learning Knowledge Bases for Information Extraction from Multiple Text Based Web Sites", Proceedings of the IEEE International Conference on Intelligent Agent Technology, Halifax, Canada. 2003. pp. 119-125.

  496. Xiaoying Gao, Mengjie Zhang. "Knowledge Discovery from Text Based Web Sites", Proceedings of the Ninth Australian world Wide Web Conference, pp.400-411. Gold Coast, 5-9 July 2003.

  497. Mengjie Zhang, Peter Andreae, Roy Chow, "Pixel Statistics Based Neural Networks for Domain Independent Multiclass Object Detection", Proceedings of Image and Vision Computing, Auckland, 2002, pp. 279-284.

  498. Mengjie Zhang. A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms. PhD Thesis, Departmentment of Computer Science, RMIT University, Melbourne, 2000.

  499. Mengjie Zhang and Victor Ciesielski. Centred Weight Initialization in Neural Networks for Object Detection. In Proceedings of the Twenty Second Australasian Computer Science Conference, page 39 - 50, Auckland, New Zealand, January 18--21 1999.

  500. Victor Ciesielski and Mengjie Zhang. Using Genetic Algorithms to Improve the Accuracy of Object Detection. In Proceedings of the third Pacific-Asia Knowledge Discovery and Data Mining Conference, published in Ning Zhong and Lizhu Zhou (Eds.): Knowledge Discovery and Data Mining -- Research and Practical Experiences. Tsinghua University Press, page 19 - 24. Beijing, China, April 26-31, 1999.

  501. Zhang Mengjie, Liu Fengqin, Huang Lihua, Zhao Li, Yang Qing and Teng Guifa. An Environment for Knowledge Engineering with Object-Oriented Technology. In Proceedings of the Third Chinese Joint Conference on Computer Application (CJCCA'95), Publishing House of Electronics Industry. Beijing, China, October 1995.

  502. Huang Lihua, Zhang Mengjie, Kuang Pusheng and Teng guifa. Design and Implementation of Efficient Inference Engine. In Proceedings of Pacific- Asian Conference on Expert Systems, Publishing House of Electronics Industry, ISBN 7-5053-3092-6/TP.1082, pages127- 128. Huangshan, China, August 1995.

  503. Zhang Mengjie and Kuang Pusheng. An Intelligent Fault Diagnosis System. In Proceedings of the Second National Conference on Intelligent Control, Tsinghua University Press, pages 696-701. Beijing, China, August 1994.

  504. Zhang Mengjie, Yang Qing, Liu Fengqin and Kuang Pusheng. A General Tool for Building Agricultural Expert Systems Based on Intelligence Fuzzy Rules. In Proceedings of the Third Chinese Conference on Agricultural Knowledge Engineering, pages 108-113. Chengde, China, October1993.

  505. Zhang Mengjie. Study of the Inference Engine and User Interface of the Tool for Building Expert Systems with Object-Oriented Technology. Masters Thesis. Artificial Intelligence Research Centre, the Agricultural University of Hebei. Baoding, China, June 1992.

  506. Zhang Mengjie, Yang Qing, Liu Fengqin and Kuang Pusheng. The Application of Object-Oriented Technology to Agricultural Knowledge Engineering. In Proceedings of the International Conference on Agricultural Engineering, International Academic Publishers, ISBN 7-80003-199-3/S125, pages VIII-38~41. Beijing, China, October 1992.

  507. Yang Qing, Liu Fengqin and Zhang Mengjie. A Tool for Building Expert Systems with Object-Oriented Technology. In Proceeding of IFAC International Workshop on Expert Systems in Agriculture, International Academic Publishers, ISBN 7-80003-202-0/S.26, pages 148-153. Huangshan, China, August 1992.

  508. Yang Qing, Zhang Mengjie and Liu Fengqin. An Environment for Agricultural Knowledge Engineering with Multiple Knowledge Bases. In Proceedings of the Second Chinese Conference on Agricultural Knowledge Engineering, pages 62-67. Hangzhou, China, October 1991.