SCHOOL OF ENGINEERING AND COMPUTER SCIENCE

Refereed Journal Articles

    1. Bing Xue, Mengjie Zhang, Will Browne, Xin Yao. "A Survey on Evolutionary Computation Approaches to Feature Selection", IEEE Transaction on Evolutionary Computation, vol. 20, no. 4, pp. 606-626, Aug. 2016. doi: 10.1109/TEVC.2015.2504420. [http] [pdf] [BibTex]
    2. Qi. Chen, Mengjie. Zhang, and Bing. Xue. "Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression", IEEE Transaction on Evolutionary Computation 2017. doi:10.1109/TEVC.2017.2683489. [http] [pdf] [BibTex]
    3. Binh Tran and Bing Xue and Mengjie Zhang."A New Representation in PSO for Discretisation-Based Feature Selection", IEEE Transactions on Cybernetics, vol. , no., pp. , 2017. doi:10.1109/TCYB.2017.2714145. [http] [pdf] [BibTex]
    4. Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. "Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification", IEEE Transaction on Evolutionary Computation 2017. Published Online. [http] [pdf] [BibTex]
    5. Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, and Mengjie Zhang."Automatically Evolving Rotation-invariant Texture Image Descriptors by Genetic Programming", IEEE Transaction on Evolutionary Computation, vol. 21, no. 1, pp. 83-101, 2017 [http] [pdf] [BibTex]
    6. Yi Mei, Su Nguyen, Bing Xue, and Mengjie Zhang."An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules with Genetic Programming", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. , no. , pp. , accepted Aug 2017. [http] [pdf] [BibTex]
    7. Bing Xue, Mengjie Zhang, Will Browne."Particle swarm optimization for feature selection in classification: A multi-objective approach", IEEE Transactions on Cybernetics, vol. 43, no. 6, pp. 1656-1671, 2013. [http] [pdf] [BibTex]
    8. Bing Xue and Mengjie Zhang."Evolutionary Feature Manipulation in Data Mining/Big Data", ACM SIGEVOlution, Vol. 10, Issue 1, pp. 4-11, 2017. [http] [pdf] [BibTex]
    9. Bing Xue."Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms", Genetic Programming and Evolvable Machines, Vol. 18, Issue , pp. 407-409, 2017, Doi:10.1007/s10710-017-9306-z. [http] [pdf] [BibTex]
    10. Hoai Bach Nguyen, Bing Xue, Peter Andreae. "Mutual Information for Feature Selection: Estimation or Counting?", Evolutionary Intelligence, vol. 9, no. 3, pp. 95-110, 2016. [http] [pdf] [BibTex]
    11. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Improving performance for classification with incomplete data using wrapper-based feature selection", Evolutionary Intelligence, vol. 9, no. 3, pp. 81-94, 2016. [http] [pdf] [BibTex]
    12. 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, no. 3, pp. 270-294, 2016. [http] [pdf] [BibTex]
    13. 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, vol. 20, no. 10, pp. 3927-3946, 2016. [http] [pdf] [BibTex]
    14. Binh Tran, Bing Xue and Mengjie Zhang. "Genetic Programming for Feature Construction and Selection in Classification on High-dimensional Data", Memetic Computing, vol 8, no. 1, Issue 1, pp3-15. 2016 [http] [pdf] [BibTex]
    15. 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 (1-23). (DOI: 10.1142/S146902681550008X). [http] [pdf] [BibTex]
    16. Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang."A binary ABC algorithm based on advanced similarity scheme for feature selection", Applied Soft Computing, Vol. 36, ISSN 1568-4946, pp. 334-348, 2015. [http] [pdf] [BibTex]
    17. 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, No. 2 (2014). pp. 1450009(1-34). (DOI: 10.1142/S1469026814500096). [http] [pdf] [BibTex]
    18. 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, pp. 261--276, 2014. (DOI:10.1016/j.asoc.2013.09.018.) [http] [pdf] [BibTex]
    19. 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, pp. 91-116, 2012. [http] [pdf] [BibTex]
    20. 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 - 31. DOI: 10.1142/S0218213013500243. [http] [pdf] [BibTex]
    21. Ben Niu, Yan Fan, Han Xiao, Bing Xue."Bacterial foraging based approaches to portfolio optimization with liquidity risk". Neurocomputing. Vol. 98, 03 December 2012. pp. 90-100. [http] [pdf] [BibTex]

Edited Journal Special Issues, and Conference Proceedings

    1. Bing Xue, Gang Chen. "Guest editorial: special issue on evolutionary optimization, feature reduction and learning". Special Issue on Evolutionary Optimisation, Feature Reduction and Learning, Soft Computing (Journal), Springer, online August 15, 2016. pp. DOI:10.1007/s00500-016-2285-9
    2. Mario Koeppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma. Proceedings of the 2015 Seventh International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015). IEEE Press. 368pp + xx. Fukuoka, Japan. 13-15 November 2015. ISBN: 978-1-4673-9360-7

Refereed Book Chapters and LNCS/LNAI Publications

    1. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    2. Yi Liu, Bing Xue, and Will N. Browne. "Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning". Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    3. Hoai Bach Nguyen, Bing Xue, and Peter Andreae. "A Hybrid GA-GP Method for Feature Reduction in Classification". Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    4. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    5. Binh Tran, Stjepan Picek, and Bing Xue. "Automatic Feature Construction for Network Intrusion Detection". Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    6. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    7. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. . Shenzhen, China. November 10-13, 2017. pp. . [http] [pdf] [BibTex]
    8. 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 (AI2017) Lecture Notes in Computer Science. Vol. 10400. Springer. Melbourne, Australia, August 19-20th, 2017. pp. 182-194. [http] [pdf] [BibTex]
    9. Jiatong Huo, Bing Xue, Lin Shang and 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 (AI2017) Lecture Notes in Computer Science. Vol. 10400. Springer. Melbourne, Australia, August 19-20th, 2017. pp. 169-181. [http] [pdf] [BibTex]
    10. 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. 18-21 April 2017. pp.210--226. [http] [pdf] [BibTex]
    11. Qi Chen, Bing Xue, Yi Mei, and Mengjie Zhang. "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. 18-21 April 2017. pp. 229-245. [http] [pdf] [BibTex]
    12. Hoai Bach Nguyen, Bing Xue, and Peter Andreae. "Surrogate-model based Particle Swarm Optimisation with Local Search for Feature Selection in Classification". Proceeding of the 20th European Conference on Applications of Evolutionary Computation (EvoApplications 2017) Part I, Lecture Notes in Computer Science. Vol. 10199. Amsterdam. 18-21 April 2017. pp. 487--505 [http] [pdf] [BibTex]
    13. Cao Truong Tran, Mengjie Zhang, Peter Andreae, and Bing Xue. "Bagging and Feature Selection for Classification with Incomplete Data". Proceeding of the 20th European Conference on Applications of Evolutionary Computation (EvoApplications 2017) Part I, Lecture Notes in Computer Science. Vol. 10199. Amsterdam. 18-21 April 2017. pp. 471--486 [http] [pdf] [BibTex]
    14. Andrew Lensen, Bing Xue, and 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 Applications of Evolutionary Computation (EvoApplications 2017) Part I, Lecture Notes in Computer Science. Vol. 10199. Amsterdam. 18-21 April 2017. pp. 538--554 [http] [pdf] [BibTex]
    15. 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 (PRICAI 2016). Lecture Notes in Computer Science. Vol. 9810. August 22-26, 2016. pp. 588-602 [http] [pdf] [BibTex]
    16. Muhammad Iqbal, Mengjie Zhang and Bing Xue. "Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems". Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016) . Lecture Notes in Computer Science. Vol. 9652. Auckland, New Zealand, April 19-22, 2016. pp.117--129 [http] [pdf] [BibTex]
    17. 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. Auckland, New Zealand, April 19, 2016. pp. 33--52 [http] [pdf] [BibTex]
    18. Hoai Bach Nguyen, Bing Xue and Peter Andreae. "Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization". Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016, EvoIASP 2016). Lecture Notes in Computer Science. Vol. 9597. Porto, Portugal, March 30 - April 1, 2016. pp. 719-736 [http] [pdf] [BibTex]
    19. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 685-700 [http] [pdf] [BibTex]
    20. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 51-67 [http] [pdf] [BibTex]
    21. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 701-718 [http] [pdf] [BibTex]
    22. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 106-122 [http] [pdf] [BibTex]
    23. Hoai bach Nguyen, Bing Xue and Mengjie Zhang. "A Subset Similarity Guided Method for Muti-objective Feature Selection". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016). Lecture Notes in Computer Science. Vol. 9592. Canberra, Australia. 2-5 February 2016. pp. 198--310 [http] [pdf] [BibTex]
    24. Tony Butler-Yeoman, Bing Xue, and Mengjie Zhang. "Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach". the 13th Australasian Data Mining Conference (AusDM 2015). Lecture Notes in Computer Science. Australian Computer Society Inc. CRPIT, 168. Sydney, 8-9 August 2015.pp.151-159 [http] [pdf] [BibTex]
    25. 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 (EuroApplications 2015). Lecture Notes in Computer Science. Vol. 9028. Copenhagen, Denmark. 8-10 April 2015. pp. 541-553 (Nominated as Best Paper) [http] [pdf] [BibTex]
    26. 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. [http] [pdf] [BibTex]
    27. 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. [http] [pdf] [BibTex]
    28. 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. [http] [pdf] [BibTex]
    29. 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. [http] [pdf] [BibTex]
    30. 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. [http] [pdf] [BibTex]
    31. 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 (EvoCOP 2014). Lecture Notes in Computer Science. Volume 8600, Granada, Spain 23rd - 25th April 2014. pp. 133--144 [http] [pdf] [BibTex]
    32. Bing Xue, Su Nguyen, Mengjie Zhang. "A New Binary Particle Swarm Optimisation Algorithm for Feature Selection". Proceedings of the 17th European Conference on Applications of Evolutionary Computation (EvoApplications 2014). Lecture Notes in Computer Science. Vol. 8602. Granada, Spain 23rd - 25th April 2014. pp. 501-513 [http] [pdf] [BibTex]
    33. Yan Dai, Bing Xue, Mengjie Zhang. "New Representations in PSO for Feature Construction in Classification". Proceedings of the 17th European Conference on Applications of Evolutionary Computation (EvoApplications 2014). Lecture Notes in Computer Science. Vol. 8602. Granada, Spain 23rd - 25th April 2014. pp. 476-488 [http] [pdf] [BibTex]
    34. 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. Vol. 8272. Springer. Dunedin, New Zealand, December 2013. pp. 214-220. [http] [pdf] [BibTex]
    35. 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. [http] [pdf] [BibTex]
    36. 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. [http] [pdf] [BibTex]
    37. 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. [http] [pdf] [BibTex]
    38. 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 [http] [pdf] [BibTex]
    39. Li Li, Bing Xue, Lijing Tan, Ben Niu."Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection". Advanced Intelligent Computing Theories and Applications. Lecture Notes in Computer Science. Vol. 6215, 2010, pp 579-586 [http] [pdf] [BibTex]
    40. Li Li, Bing Xue, Ben Niu, Lijing Tan, Jixian Wang. "A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function". Emerging Intelligent Computing Technology and Applications. Lecture Notes in Computer Science. Vol. 5755. 2009. pp. 785-793. [http] [pdf] [BibTex]
    41. Ben Niu, Bing Xue, Li Li. "Symbiotic Multi-swarm PSO for Portfolio Optimization". Proceedings of the 5th International Conference on Intelligent Computing (ICIC 2009). Vol. 5755. 2009. pp. 776-784. (Best Paper Award) [http] [pdf] [BibTex]

Refereed International Conference Papers

    1. Andrew Lensen, Bing Xue and 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). ACM Press. Berlin, German, July 15 - 19 July 2017.pp 449-456. [http] [pdf] [BibTex]
    2. Chengyan Wang, Bing Xue, and Lin Shang."PSO-based Parameters Selection for the Bilateral Filter in Image Denoising". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press. Berlin, German, July 15 - 19 July 2017.pp 51-58. [http] [pdf] [BibTex]
    3. Cao Truong Tran, Mengjie Zhang, Peter Andreae, and Bing Xue."Genetic Programming based Feature Construction for Classification with Incomplete Data". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press. Berlin, German, July 15 - 19 July 2017.pp 1033-1040. [http] [pdf] [BibTex]
    4. Cao Truong Tran, Mengjie Zhang, Peter Andreae, and Bing Xue."Multiple Imputation and Genetic Programming for Classification with Incomplete Data". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press. Berlin, German, July 15 - 19 July 2017.pp 521-528. [http] [pdf] [BibTex]
    5. Qi Chen, Bing Xue and 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. ACM Press. Berlin, German, July 15 - 19 July 2017.pp 223-224. [http] [pdf] [BibTex]
    6. Andrew Lensen, Bing Xue and Mengjie Zhang."Improving k-means Clustering with Genetic Programming for Feature Construction". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, July 15 - 19 July 2017.pp 237-238. [http] [pdf] [BibTex]
    7. Hoai Bach Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, and Mengjie Zhang. "Multiple Reference Points MOEA/D for Feature Selection". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, July 15 - 19 July 2017.pp 157-158. [http] [pdf] [BibTex]
    8. Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. "Evolving Texture Image Descriptors Using A Multitree Genetic Programming Representation". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, July 15 - 19 July 2017.pp 219-220. [http] [pdf] [BibTex]
    9. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp. 1279-1286. [http] [pdf] [BibTex]
    10. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp. 1287-1294. [http] [pdf] [BibTex]
    11. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp. 286-293. [http] [pdf] [BibTex]
    12. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp.2420-2427. [http] [pdf] [BibTex]
    13. Andrew Lensen, Bing Xue and Mengjie Zhang, "Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). Athens, Greece, December 6-9, 2016 pp. 1-8. (doi:10.1109/SSCI.2016.7850124)[http] [pdf] [BibTex]
    14. Binh Tran, Mengjie Zhang, and Bing Xue, "Multiple Feature Construction in High-Dimensional Data Using Genetic Programming". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). Athens, Greece, December 6-9, 2016 pp. 1-8. (doi:10.1109/SSCI.2016.7850130) [http] [pdf] [BibTex]
    15. Bing Xue, Mitchell Lane, Ivy Liu and Mengjie Zhang, "Dimension Reduction in Classification using Particle Swarm Optimisation and Statistical Variable Grouping Information". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). Athens, Greece, December 6-9, 2016 pp pp. 1-8 (doi:10.1109/SSCI.2016.7850126). [http] [pdf] [BibTex]
    16. Qi Chen, Mengjie Zhang, and Bing Xue."Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression". Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES2016), Canberra, Australia, 16-18 November 2016.pp.87--102. [http] [pdf] [BibTex]
    17. Bach H. Nguyen, Bing Xue and Peter Andreae."A Novel Binary Particle Swarm Optimisation Algorithm and its Applications on Knapsack and Feature Selection Problems". Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES2016), Canberra, Australia, 16-18 November 2016.pp.pp 319-332. [http] [pdf] [BibTex]
    18. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue and Lam Thu Bui."Multiple Imputation and Ensemble Learning for Classification with Incomplete Data". Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES2016), Canberra, Australia, 16-18 November 2016.pp.401--415 [http] [pdf] [BibTex]
    19. Bing Xue and Mengjie Zhang."Evolutionary Computation for Feature Selection and Feature Construction". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO 2016) Companion, ACM Press. Dever, Colorado, USA. 20-24 July 2016.pp. 861-881 [http] [pdf] [BibTex]
    20. 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 [http] [pdf] [BibTex]
    21. Qi Chen, Bing Xue, Mengjie Zhang, and Lin Shang."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[http] [pdf] [BibTex]
    22. 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 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp.69-70 [http] [pdf] [BibTex]
    23. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3061-3067. [http] [pdf] [BibTex]
    24. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3793-3800. [http] [pdf] [BibTex]
    25. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3801-3808. [http] [pdf] [BibTex]
    26. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3598-3605. [http] [pdf] [BibTex]
    27. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3582-3589. [http] [pdf] [BibTex]
    28. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.5044-5051.[http] [pdf] [BibTex]
    29. 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. pp. 1-6. [http] [pdf] [BibTex]
    30. 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.[http] [pdf] [BibTex]
    31. 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. [http] [pdf] [BibTex]
    32. 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. 1137-1144. [http] [pdf] [BibTex]
    33. 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. pp. 2428-2435. [http] [pdf] [BibTex]
    34. Bach Hoai 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 World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2014). Beijing, China. 6-11 July, 2014. IEEE Press. PP.3111-- 3118. 2015 [http] [pdf] [BibTex]
    35. Bing Xue, A. K. Qin and Mengjie Zhang."An Archive based Particle Swarm Optimisation for Feature Selection in Classification", Proceedings of 2014 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2014). Beijing, China. 6-11 July, 2014. IEEE Press. pp.3119--3126. [http] [pdf] [BibTex]
    36. Bing Xue, Wenlong Fu, and 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, BC, Canada. 12-16 July 2014. pp. 83--84. [http] [pdf] [BibTex]
    37. Soha Ahmed, Mengjie Zhang, Lifeng Peng and 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, BC, Canada. 12-16 July 2014.pp.249--256. [http] [pdf] [BibTex]
    38. Bing Xue, Mengjie Zhang, Yan Dai, Will Browne."PSO for Feature Construction and Binary Classification". Proceedings of 2013 Genetic and Evolutionary Computation Conference (GECCO 2013). Amsterdam, The Netherlands. July 06-10, 2013. pp. 137-144 [http] [pdf] [BibTex]
    39. 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 (CEC 2013). Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2840-2847. [http] [pdf] [BibTex]
    40. 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 (CEC 2013). Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2428-2435. [http] [pdf] [BibTex]
    41. 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. [http] [pdf] [BibTex]
    42. Bing Xue, Mengjie Zhang and Will N. Browne."New Fitness Functions in Binary Particle Swarm Optimisation for Feature Selection". Proceedings of 2012 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2012). Brisbane, Australian. 10-17 June, 2012. IEEE Press. pp. 2145-2152. [http] [pdf] [BibTex]
    43. Liam Cervante, Bing Xue and Mengjie Zhang."Binary Particle Swarm Optimisation for Feature Selection: A Filter Based Approach". Proceedings of 2012 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2012). Brisbane, Australian. 10-17 June, 2012. IEEE Press. pp. 881-888. [http] [pdf] [BibTex]
    44. 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. [http] [pdf] [BibTex]
    45. Ben Niu, Lijing Tan, Bing Xue, Li Li."Constrained Portfolio Selection Using Multiple Swarms". Proceedings of 2010 IEEE Congress on Evolutionary Computation (CEC 2010). Barcelona, Spain. 2010. IEEE. Barcelona, Spain, 18-23 July 2010. pp.1-7. [http] [pdf] [BibTex]
    46. Ben Niu, Yan Fan, Pei Zhao, Bing Xue, Li Li."A Novel Bacterial Foraging Optimizer with Linear Decreasing Chemotaxis Step". 2nd International Workshop on Intelligent Systems and Applications (ISA 2010). Wuhan, China. 2010. pp.1-4. [http] [pdf] [BibTex]
    47. Li Li, Bing Xue, Ben Niu, Yujuan Chai."The Novel Non-linear Strategy of Inertia Weight in Particle Swarm Optimization". Proceedings of the 4th International Conference on Bio-inspired Computing: Theories and Applications (BICTA 2009). Beijing, China. 2009. pp. 183-187. [http] [pdf] [BibTex]
    48. Ben Niu, Li Li, Lianbo Ma, Bing Xue."Design of Logistic Monitoring Management System Based on RFID Technology". Proceedings of 2nd 2008 International Symposium on Intelligent Information Technology Application Workshop (IIIA 2008). Shanghai, China. 2008. pp.669-672. [http] [pdf] [BibTex]

PhD thesis

  • Particle Swarm Optimisation for Feature Selection in Classification (20 Oct 2010 - 18 Oct2013), School of Engineering and Computer Science, Victoria University of Wellington, New Zealand [http] [pdf] [BibTex]
  • PhD_proposal: Particle Swarm Optimisation for Feature Selection in Classification (Oct 2011), School of Engineering and Computer Science, Victoria University of Wellington, New Zealand [PhD_proposal: Download here] (This is not a publication, but asked by many people, mainly useful for PhD students at VUW when writing their PhD full proposals)