Hui Ma Publication list

Journal articles:

  1. Y. Yang, A. Chen. H. Ma, S. Hartmann, M. Zhang: Enhancing Generalization in Genetic Programming Hyper-heuristics through Mini-batch Sampling Strategies for Dynamic Workflow Scheduling, Information Sciences, 2024 (accepted) (CORE Tier A)
  2. Y. Yang, A. Chen. H. Ma, S. Hartmann, M. Zhang: Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing, IEEE Transactions on Evolutionary Computation (TEVC), 2024 (accepted) (CORE Tier A*) TEVC_Yang.pdf
  3. T. Shi, H. Ma, G. Chen and S. Hartmann, "Auto-Scaling Containerized Applications in Geo-Distributed Clouds" in IEEE Transactions on Service Computing (TSC), 2023. (accepted) (CORE Tier A*) (TSC2023.pdf)
  4. Sadeghiram, Soheila, Hui Ma, and Gang Chen. "Multi-objective distributed Web service composition—A link-dominance driven evolutionary approach." Future Generation Computer Systems (2023).https://doi.org/10.1016/j.future.2023.01.001 (CORE Tier A) paper.pdf
  5. C. Wang, H. Ma, G. Chen, S. Hartmann, "Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition", IEEE Transactions on Evolutionary Computation (TEVC), 2022 pdf] DOI: 10.1109/TEVC.2022.3170899. (CORE Tier A*)
  6. T. Shi, H. Ma, G. Chen and S. Hartmann, Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment, IEEE Transactions on Parallel and Distributed Systems (TPDS) 33 (8), 1982-1995, 2022. DOI: 10.1109/TPDS.2021.3133884 (CORE Tier A*)
  7. C. Wang, H. Ma, G. Chen, S. Hartmann, ''Memetic EDA-Based Approaches to QoS-Aware Fully-Automated Semantic Web Service Composition", IEEE Transactions on Evolutionary Computation (TEVC), 2021.DOI: 10.1109/TEVC.2021.3127633(CORE Tier A*)

  8. S. Sadeghiram, H. Ma and G. Chen, "Priority-based Selection of Individuals in Memetic Algorithms for Distributed Data-intensive Web Service compositions," in IEEE Transactions on Services Computing, 2021. 10.1109/TSC.2021.3066322 (CORE Tier A*)

  9. T. Shi, H. Ma, G. Chen and S. Hartmann, "Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment," in IEEE Transactions on Parallel and Distributed Systems (TPDS), vol.31, pp. 1954-1969, 2020. (CORE Tier A*)
  10. B. Tan, H. Ma, Y. Mei, M. Zhang: A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for On-line Resource Allocation in Container-based Clouds, IEEE Transactions on Cloud Computing (TCC), 2020, doi: 10.1109/TCC.2020.3026338
  11. C. Wang, H. Ma, G. Chen, S. Hartmann and J. Branke, "Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures," in IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2020, doi: 10.1109/TETCI.2020.3027870.

  12. A. S. da Silva, Yi Mei, H. Ma, M. Zhang, A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2020.

  13. B. Tan, H. Ma, Y. Mei, M. Zhang, Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem, IEEE Transactions on Services Computing (TSC), Volume: PP Issue: 99, 2018.

  14. H. Ma, S. Hartmann, P. Vechsamutvaree: Towards FCA-facilitated Ontology-supported Recruitment Systems. Enterprise Modelling and Information Systems Architectures ( EMISA Journal ), vol. 13, pp.182-189, 2018.

  15. A. S. da Silva, Y. Mei, H. Ma, M. Zhang, Evolutionary Computation for Automatic Web Service Composition -- An Indirect Representation Approach, Journal of Heuristics, 24(3): pp. 425-456, Springer, 2018.

  16. S. Hartmann, H. Ma, P. Vechsamutvaree, Providing Ontology-Based Privacy-Aware Data Access through Web Services and Service Composition, Transactions on Large-Scale Data and Knowledge-Centered Systems, Springer, vol. 30, pp.109-131, 2016
  17. A. Sawczuk da Silva, H. Ma and M. Zhang, Genetic Programming for QoS-Aware Web Service Composition and Selection, Soft Computing, 20(10): pp. 3851-3867, 2016.
  18. H. Ma, A. Wang, M. Zhang, A hybrid approach using greedy search and genetic programming for QoS-aware web service composition, Transactions on Large-Scale Data and Knowledge-Centered Systems, vol. 18, LCNS 8980, Springer, pp. 180-205, 2015
  19. H. Ma, R. Noach, K.-D. Schewe, B. Thalheim, Q. Wang: Complete Conceptual Schema Algebra. Fundamenta Informaticae, vol. 123, pp. 1-26, 2013.
  20. H. Ma, K.-D. Schewe, B. Thalheim, Q. Wang: A Formal Model for the Interoperability of Service Clouds, Service-Oriented Computing and Applications, Springer, vol. 6(3), pp. 189-205, 2012.
  21. H. Ma, K.-D. Schewe, B. Thalheim, Q. Wang: Cloud Warehousing. Journal of Universal Computer Science, vol. 17, pp. 1183-1201, 2011.
  22. H. Ma: A Geometrically Enhanced Conceptual Model and Query Language. Journal of Universal Computer Science, vol. 16, pp. 2986-3015, 2011.
  23. H. Ma, R. Noack, K. Schewe, B. Thalheim: Using Meta-Structures in Database Design, Informatica, vol. 34, pp. 387-403, 2010.
  24. H. Ma, K. Schewe: Fragmentation of XML Documents. Journal of Information and Data Management, 1, pp. 21-34, 2010.
  25. H. Ma, K. Schewe: “Fragmentation of XML documents – Revisited”. Journal of Information and Data Management, pp. 35-36, 2010.
  26. H. Ma, K. Schewe, B. Thalheim, Q. Wang: A Theory of Data-Intensive Software Services, Service-Oriented Computing and Applications, vol. 3, pp. 263-283, Springer, 2009.
  27. H. Ma, K. Schewe, Q. Wang: Distribution Design for Higher-Order Data Models, Data and Knowledge Engineering, vol. 60, pp. 400-434, Elsevier, 2007.
  28. J. Zhao, H. Ma: ASM-Based Design of Data Warehouses and On-Line Analytical Processing Systems. Journal of Software and Systems, vol. 79, pp. 613-629, Elsevier, 2006.
  29. H. Ma, K.Schewe, B. Thalheim, J. Zhao: View Integration and Cooperation in Databases, Data Warehouses and Web Information Systems, Journal on Data Semantics, vol. 4, pp. 213-249, Springer, 2005.

Book Chapters:

  1. G. Burmester, H. Ma, D. Steinmetz, S. Hartmann: Big Data and Data Analytics in Aviation. In: Advances in Aeronautical Informatics, pp. 55-65, Springer, 2018.
  2. H. Ma, Z. Chang, A. Sawczuk da Silva, S. Hartmann: QoS-Aware Web Service Composition Using Graph Databases. In: Models: Concepts, Theory, Logic, Reasoning and Semantics, College Publications, pp. 338-353, 2018.

  3. H. Ma, K. Schewe: Query Handling in Geometric Conceptual Modelling, in Information Modelling and Knowledge Bases XXV. Frontiers in Artificial Intelligence and Applications, vol. 260, pp. 174-189. IOS Press, 2014.

  4. H. Ma, Transforming Geometrically Enhanced Conceptual Model Schemas to GML. in Conceptual Modelling and Its Theoretical Foundations, pp. 251-267, Springer, 2012.

  5. H. Ma, K. Schewe: Conceptual Geometric Modelling, in Conceptual Modelling - A Handbook, pp. 331-349, Springer, 2011.
  6. H. Ma, K. Schewe, B. Thalheim, Q. Wang: Abstract State Services, A Theory of Web Services, in Advances in Conceptual Modelling - Challenges and Opportunities, Lecture Notes in Computer Science, vol. 5232, pp. 406-415, Springer, 2008.
  7. H. Ma, K. Schewe, M. Kirchberg: A Heuristic Approach to Fragmentation Incorporating Query Information, in Databases and Information Systems, Frontiers in Artificial Intelligence and Applications, vol.155, pp. , 103-116, IOS press, 2007.
  8. H. Ma, K. Schewe: Query Optimisation as Part of Distribution Design for Complex Value Databases, in Information Modelling and Knowledge Bases, Frontiers in Artificial Intelligence and Applications, vol.136, pp. 289-296, IOS press, 2006.
  9. H. Ma, K. Schewe: A Heuristic Approach to Horizontal Fragmentation in Object Oriented Databases, in Databases and Information Systems, Frontiers in Artificial Intelligence and Applications, vol. 118, pp. 20-33, IOS Press, 2005.

Referred Conference Proceedings

  1. Zhengxin Fang, Hui Ma, Gang Chen and Sven Hartmann, Leveraging LLM in Genetic Programming Hyper-Heuristics for Dynamic Microservice Deployment, The 34th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2024.
  2. Amer Saeed, Gang Chen, Hui Ma and Qiang Fu: Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing, IEEE Cloud, 2004 (CORE Tier A)
  3. Fengyang, Hui Ma, Gang Chen: Population-Based Incremental Learning for Effective IoT Service Composition with Replication, IEEE SSE, 2024
  4. Zhen Han, Chen Wang, Zhengxin Fang, Hui Ma, and Gang Chen: Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog Computing Environments, IEEE SSE, 2024
  5. Gerrit Burmester, Sven Hartmann, Hui Ma and Sarmad Rezayat, Conceptual Framework for Designing Hippocratic APIs, in Proc. International Conference on Conceptual Modeling (ER), Springer, 2024 (to appear) (ARC/ERA Tier A).
  6. Mathew Falloon, Gang Chen, Hui Ma, Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach, in Proc. The 2024 conference companion on Genetic and evolutionary computation companion (GECCO) (CORE Tier A) , 2024 (accepted)
  7. Longfei Felix Yan, Hui Ma, Gang Chen, Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds, in Proc. The 2024 conference companion on Genetic and evolutionary computation companion (GECCO) (CORE Tier A) , 2024 (accepted)
  8. Zhengxin Fang, Hui Ma, Gang Chen and Sven Hartmann, Energy-Efficient and Communication-Aware Microservice Allocation in Container-based Cloud with Group Genetic Algorithms, 21th edition of the International Conference on Service Oriented Computing (ICSOC) 2023 (CORE Tier A), 2023 (accepted)
  9. Zhengxin Fang, Hui Ma, Gang Chen and Sven Hartmann, A Novel Group Genetic Algorithm for Resource Allocation in Container-Based Clouds, The 36th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2023
  10. Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen and Hui Ma: Evolving Epidemic Management Rules using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization, The 36th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2023 
  11. Anjali de Silva, Gang Chen, Hui Ma and Mohammad Nekooei： Leiden Fitness-based Genetic Algorithm with Niching for Community Detection in Large Social Networks, The Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2023
  12. Gerrit Burmester, David Kugelmann, Dietrich Steinmetz, Hui Ma and Sven Hartmann: A Conceptual Modeling Approach for Risk Assessment and Mitigation in Collision-free UAV Routing for Beyond-the-Visual-Line-of-Sight Flights, in Proc. International Conference on Conceptual Modeling (ER), Springer, 2023 (to appear) (ARC/ERA Tier A).
  13. Y Yang, H Ma, G Chen, S Hartmann,A model-driven machine learning approach to dynamic multi-workflow scheduling, CEUR Workshop Proceedings, 2023
  14. Fengyang Sun, Hui Ma, Gang Chen, Sven Hartmann: IoT Service Composition -- An Estimation of Distribution Algorithm with Adaptive Bias, IEEE Congress on Evolutionary Computation (CEC), 2023.
  15. Chen Wang, Hui Ma, Gang Chen, Guiying Huang, Yongbo Yu and Kameron Christopher: Energy-Aware Dynamic Resource Allocation in Container-based Clouds via Cooperative Coevolution Genetic Programming, The 26th the International Conference on the Applications of Evolutionary Computation (EvoApps), LNCS, 2023 (Best Paper Nomination)
  16. Kirita-Rose Escott, Hui Ma and Gang Chen: "Cooperative Coevolutionary Genetic Programming Hyper Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing", in Proc. The 23th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), LNCS, 2023.
  17. Amer Saeed, Gang Chen, Hui Ma and Qiang Fu: "A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling", The 26th the International Conference on the Applications of Evolutionary Computation (EvoApps), LNCS, 2023
  18. Yuheng Chen, Tao Shi, Hui Ma and Aaron Chen: "Multi-Objective Location-Aware Service Brokering in Multi-Cloud - A GPHH Approach with Transfer Learning", The 26th the International Conference on the Applications of Evolutionary Computation (EvoApps), LNCS, 2023 YuhengChen_Evo.pdf
  19. Y. Yang, A. Chen. H. Ma, M. Zhang: Dual-tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud, 20th edition of the International Conference on Service Oriented Computing (ICSOC) 2022 (to appear) (CORE Tier A) dual_tree_gp_for_workflow_scheduling.pdf
  20. V. Huang, C. Wang, H. Ma, G. Chen, and K. Christophe: Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning, 20th edition of the International Conference on Service Oriented Computing (ICSOC) 2022 (to appear) (CORE Tier A) ICSOC_2022_Workflow_Scheduling.pdf
  21. Yuguang Zhao, Gang Chen, Hui Ma, Xingquan Zuo and Guanqun Ai: Dynamic Bus Holding Control using Spatial-Temporal Data -- A Deep Reinforcement Learning Approach, The 35th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2022
  22. Anjali de Silva, Gang Chen, Hui Ma and Mohammad Nekooei: Genetic Algorithm with a novel Leiden-based Mutation Operator for Community Detection, The 35th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2022
  23. J. Trueman, H. Ma, A. Chen, S. Hartmann: Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach. In: Hua, W., Wang, H., Li, L. (eds) Databases Theory and Applications. (ADC). Lecture Notes in Computer Science, vol 13459. Springer, pp 21–33, 2022
  24. D. Steinmetz, F. Merz, Gerrit Burmest, H. Ma, S. Hartmann: A Modeling Rule for Improving the Performance of Graph Data Models. ER 2022. Lecture Notes in Computer Science, Springer, 2022 (to appear) (CORE Tier A)
  25. Y. Chen, T. Shi, H. Ma, G. Chen: Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud, IEEE International Conference on Services Computing (SCC), IEEE, 2022
  26. Y. Yu, T. Shi, H. Ma, G. Chen: A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment, 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2022,
  27. T. Shi, H. Ma, G. Chen, S. Hartmann: Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning, 19th edition of the International Conference on Service Oriented Computing (ICSOC), Lecture Notes in Computer Science, vol 13121. Springer,pp. pp 756-764, https://doi.org/10.1007/978-3-030-91431-8_52, 2021 (CORE Tier A)
  28. Steinmetz D., Hartmann S., Ma H. (2021) A Conceptual Modelling Approach for the Discovery and Management of Platoon Routes. In: Ghose A., Horkoff J., Silva Souza V.E., Parsons J., Evermann J. (eds) Conceptual Modeling. ER 2021. Lecture Notes in Computer Science, vol 13011. Springer, Cham. https://doi.org/10.1007/978-3-030-89022-3_23, 2021 (CORE Tier A)
  29. K.-R. Escott, H. Ma and G. Chen: Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing", The 34th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2021
  30. T. Akindele, B. Tan, Y. Mei and H. Ma: Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud, The 34th Australasian Joint Conference on Artificial Intelligence (AJCAI), 2021
  31. A. Ariadi,T. Shi, A. S. da Silva, H. Ma and S. Hartmann: A Graph Database Supported GA-based Approach to Social Network Analysis, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021
  32. Y. Yu, H. Ma, G. Chen: Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach, 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 1880-1887, 2021
  33. Y. Yang, G. Chen, H. Ma, M. Zhang, V Huang: Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2141-2148, 2021
  34. K. -R. Escott, H. Ma and G. Chen: A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud," 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 3141-3148, doi: 10.1109/SSCI47803.2020.9308261.
  35. S. Sadeghiram, H. Ma and G. Chen, "A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition," 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 791-797, doi: 10.1109/SSCI47803.2020.9308222.

  36. S. Sadeghiram, H. Ma, G. Chen: A Novel Repair-Based Multi-Objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition, International Conference on Web Information Systems Engineering (WISE), 2020 (to appear) (ARC/ERA Tier A).

  37. S. Hartmann, J. Alshami, H. Ma and D. Steinmetz: A Conceptual Framework for Dynamic Planning of Alternative Routes in Road Networks, in Proc. International Conference on Conceptual Modeling (ER), Springer, 2020 (to appear) (ARC/ERA Tier A).

  38. T. Shi, H. Ma, G. Chen, S. Hartmann: Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment, IEEE International Conference on Web Services (ICWS), 2020 (to appear) (ARC/ERA Tier A).

  39. T. Shi, H. Ma, G. Chen: Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment, IEEE International Conference on Services Computing (SCC), 2020 (to appear) (ARC/ERA Tier A).

  40. S. Sadeghiram, H. Ma, G. Chen: A Knowledge-based Robust Evolutionary Algorithm for Data-intensive Web Service Composition in Dynamic Bandwidth Environment, IEEE International Conference on Services Computing (SCC), 2020 (to appear) (ARC/ERA Tier A)

  41. K.-R. Escott, H. Ma, G. Chen: Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud, in Proc. International Conference on Database and Expert Systems Applications (DEXA), 2020

  42. B. Tan, H. Ma, Y. Mei: An NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds, in Proc. 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 180-196, 2020 (ARC/ERA Tier A).

  43. Boxiong Tan, Hui Ma, Yi Mei: A Group Genetic Algorithm for Resource Allocation in Container-based Clouds. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCop), 2020.
  44. C Wang, H Ma, G Chen, S Hartmann: Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm, Australasian Joint Conference on Artificial Intelligence, pp. 445-459, 2019
  45. Dietrich Steinmetz, Felix Merz, Hui Ma and Sven Hartmann: A Graph Model for Taxi Ride Sharing supported by Graph Databases, in Proc. 38th International Conference on Conceptual Modeling (ER), Lecture Notes in Computer Science, Springer, pp. 108-116, 2019 (ERA2010 A-ranked)
  46. Chen Wang, Hui Ma, Gang Chen: Using EDA-Based Local Search to improve the performance of NSGA-II for Multiobjective Semantic Web Service Composition, in Proc. 30th International Conference on Database and Expert Systems Applications (DEXA), pp. 434-451. 2019
  47. Soheila Sadeghiram, Hui Ma, Gang Chen: Composing Distributed Data-intensive Web services using Distance-guided Memetic Algorithm, in Proc. 30th International Conference on Database and Expert Systems Applications (DEXA), pp. 411-422. 2019
  48. Soheila Sadeghiram, Hui Ma, Gang Chen: A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition. GECCO (Companion), pp.155-156, 2019
  49. Chen Wang, Hui Ma, Gang Chen, Sven Hartmann: A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition. GECCO (Companion), pp. 421-422, 2019
  50. Tao Shi, Hui Ma and Gang Chen, "A Genetic-based Approach to Location-aware Cloud Service Brokering in Multi-cloud Environment". 2019 IEEE International Conference on Services Computing (SCC), IEEE, pp. 146-153, 2019 (ERA2010 A-ranked).
  51. Boxiong Tan, Hui Ma, Yi Mei: Novel Genetic Algorithm with Dual Chromosome Representation for Resource Allocation in Container-based Clouds. Proceedings of the IEEE CLOUD, pp. 452-456, 2019
  52. Boxiong Tan, Hui Ma and Yi Mei, "A Hybrid Genetic Programming Hyper-Heuristic Approach for On-line Two-level Resource Allocation in Container-based Clouds", in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2681 - 2688, 2019.
  53. Soheila Sadeghiram, Hui Ma and Gang Chen, "Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm", in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2832 - 2839, 2019.
  54. Hui Ma, Alexandre Sawczuk da Silva and Wentao Kuang "NSGA-II with Local Search for Multi-objective Application Deployment in Multi-Cloud", in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2800 - 2807, 2019.
  55. Chen Wang, Hui Ma, Gang Chen and Sven Hartmann, "Evolutionary Multitasking for Semantic Web Service Composition", in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2490 - 2497 2019.
  56. Yongbo Yu, Hui Ma, Yalian Feng, Aaron Chen and Chen Wang, "Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach", in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 3102 - 3100, 2019 .
  57. Tao Shi, Hui Ma and Gang Chen, "A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment", in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 3364 - 3371, 2019 .
  58. D. Steinmetz, D. Dyballa, H. Ma and S. Hartmann: Using a Conceptual Model for Transforming Road Networks from OpenStreetMap to a Graph Database, in Proc. 37th International Conference on Conceptual Modeling (ER), Lecture Notes in Computer Science, vol. 11157, pp. 301--315, Springer, 2018. (ERA2010 A-ranked) (Best Paper Award)
  59. T. Shi, H. Ma and G. Chen: Multi-Objective Container Consolidation in Cloud Data Centers,The Australasian Joint Conference on Artificial Intelligence, pp. 783-795, 2018.
  60. C. Wang, H. Ma, G. Chen, and S. Hartmann: Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm,The Australasian Joint Conference on Artificial Intelligence, pp.458-471, 2018.
  61. B. Tan, H. Ma and Y. Mei, "A Genetic Programming Hyper-heuristic Approach for online Resource Allocation in Container-based Clouds," The Australasian Joint Conference on Artificial Intelligence, pp. 146-152, 2018.
  62. C. Wang, H. Ma, G. Chen, and S. Hartmann: Knowledge-Driven Automated Web Service Composition --- An EDA-Based Approach, in Proc. 19th International Conference on Web Information Systems Engineering (WISE), Springer, pp.135-150, 2018 (ERA2010 A-ranked)
  63. A. Sawczuk da Silva, H. Ma, Y. Mei, M. Zhang: A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition, in Proc. IEEE International Conference on Web Services (ICWS), pp. 26-33, 2018. (ERA2010 A-ranked, Best Student Paper Run Up)
  64. T. Shi, H. Ma and G. Chen: Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers, in Proc. IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 1-8, 2018.
  65. S. Sadeghiram, H. Ma and G. Chen: Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition, in Proc. IEEE Congress on Evolutionary Computation (CEC), pp. 1-7, 2018.

  66. C. Wang, H. Ma, G. Chen: EDA-based approach to comprehensive quality-aware automated semantic web service composition. GECCO (Companion) , ACM, pp. 147-148, 2018

  67. C. Wang, H. Ma, A. Chen, S. Hartmann: GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition. in Proc. 11th International Conference Simulated Evolution and Learning ( SEAL), pp. 170-183, 2017

  68. A. Sawczuk da Silva, E. Moshi, H. Ma, S. Hartmann: A QoS-aware Web Service Composition Approach Based on Genetic Programming and Graph Databases, in Proc. 28th International Conference on Database and Expert Systems Applications (DEXA) , pp. 37-44, 2017.

  69. C. Wang, H. Ma, G. Chen, S. Hartmann: Comprehensive Quality-Aware Automated Semantic Web Service Composition, in Proc. The 30th Australasian Joint Conference on Artificial Intelligence ( AI), pp. 195-207, 2017.

  70. B. Tan, H. Ma, Y. Mei, A NSGA-II-based Approach for Web Service Resource Allocation On Cloud, IEEE Congress on Evolutionary Computation (CEC), pp. 2574-2581, 2017.

  71. A. Sawczuk da Silva, Y. Mei, H. Ma, M. Zhang: Fragment-based Genetic Programming for Fully Automated Multi-Objective Web Service Composition, in Proc. The 2017 conference companion on Genetic and evolutionary computation companion (GECCO), pp. 353-360, 2017.

  72. A. Nourmohammadzadeh, S. Hartmann, H. Ma: A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting. in Proc. The 2017 conference companion on Genetic and evolutionary computation companion (GECCO), pp. 215-216, 2017.

  73. B. Tan, H. Huang, H. Ma, M. Zhang: Binary PSO for Web Service Location-Allocation, in Proc. Third Australasian Conference of Artificial Life and Computational Intelligence ( ACALCI), pp.366-377, 2017.

  74. Alexandre S. da Silva, Yi Mei, Hui Ma, Mengjie Zhang, " A Memetic Algorithm-Based Indirect Approach to Web Service Composition ," Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 3385-3392, 2016.

  75. L. Yan, Y. Mei, H. Ma, M. Zhang, " Evolutionary Web Service Composition with Graph-based Memetic Algorithm" Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC ), pp. 201-208, 2016.

  76. V. Poaka, S. Hartmann, H. Ma, D. Steinmetz: A Link-Density-Based Algorithm for Finding Communities in Social Networks. ER Workshops 2016: 76-85, 2016

  77. S. Nguyen, Y. Mei, H. Ma, A. Chen, Mengjie Zhang, " Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions," Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC ), pp. 3053-3060, 2016.

  78. A. Sawczuk da Silva, Y. Mei, H. Ma, M. Zhang "Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition", in Proc. The 16th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), LNCS, pp. 202-218, 2016.
  79. B. Tan, Y. Mei, H. Ma, M. Zhang, "Particle Swarm Optimization for Multi-Objective Web Service Location Allocation", in Proc. The 16th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), LNCS, pp. 219-234, 2016.
  80. B. Tan, H. Ma and M. Zhang, "Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm", in Proc. Australasian Conference on Artificial Life and Computational Intelligence (ACALCI), pp. 246-257, 2016.
  81. Y. Yu, H. Ma and M. Zhang, "Genetic Programming Approach to Distributed Execution of Data-Intensive Web Service Compositions", in Proc. Australasian Computer Science Conference (ACSC). Article No. 29, 2016.
  82. S. Hartmann, H. Ma, P. Vechsamutvaree. "Providing Ontology-Based Privacy-Aware Data Access through Web Services" in Proc. 34th International Conference on Conceptual Modeling (ER) Workshops, Springer, pp. 74-85, 2015.

  83. A. Sawczuk da Silva, H. Ma and M. Zhang. “GraphEvol: A Graph Evolution Technique for Web Service Composition”, in Proc. 26th International Conference on Database and Expert Systems Applications (DEXA), pp. 134-142, 2015.

  84. Y. Yu, H. Ma and M. 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 ). pp. 2843-2850, 2015.

  85. A. Sawczuk da Silva, H. Ma and M. Zhang. "A GP Approach to QoS-Aware Web Service Composition including Conditional Constraints". Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC ). pp. 2113-2120, 2015.
  86. H. Ma, K.-D. Schewe: Query Handling in Geometric Conceptual Modelling. EJC 2013: 174-189, 2015.
  87. Y. Yu, H. Ma, M. Zhang: A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition. Simulated Evolution and Learning - 10th International Conference (SEAL), pp. 106-118, 2014.
  88. A. Sawczuk da Silva, H. Ma, M. Zhang: A GP Approach to QoS-Aware Web Service Composition and Selection. Simulated Evolution and Learning - 10th International Conference (SEAL), pp. 180-191, 2014.
  89. H. Huang, H. Ma, M. Zhang: An Enhanced Genetic Algorithm for Web Service Location-Allocation. in Proc. Database and Expert Systems Applications – 25th International Conference (DEXA), pp. 223-230, 2014.
  90. A. Sawczuk da Silva, H. Ma, M. Zhang: A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection. In Proc.IEEE Congress on Evolutionary Computation (CEC), pp. 3127-3134, 2014.
  91. Y. Yu, H. Ma, M. Zhang: A Genetic Programming approach to distributed QoS-aware web service composition. In Proc. IEEE Congress on Evolutionary Computation (CEC), pp. 1840-1846, 2014.
  92. A. Wang, H. Ma, M. Zhang: Genetic Programming with Greedy Search for Web Service Composition. in Proc. Database and Expert Systems Applications – 24th International Conference (DEXA), pp. 9-17, 2013.
  93. H. Ma, K. Schewe. An algebra for geometric conceptual modelling. in Proc. of the 23rd European Japanese Conference on Information Modelling and Knowledge Bases (EJC), pp. 184-202, 2013.
  94. Y. Yu, H. Ma, M. Zhang: An adaptive genetic programming approach to QoS-aware web services composition. In Proc. IEEE Congress on Evolutionary Computation (CEC), pp. 1740-1747, 2013.
  95. H. Ma, K.-D. Schewe and D. Looser,Using Formal Concept Analysis for Ontology Design and Maintenance in Human Resource Recruitment, in Proc. 9th Asia-Pacific Conference on Conceptual Modelling (APCCM), CRPIT, vol. 143, pp. 61-68, Australian Computer Society, 2013.
  96. H. Ma, K. Schewe, H. Xie: A Service-Oriented Approach to Web Warehousing Using XML for Cloud Specification and XQuery for Service Discovery, in Proc. 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS), pp. 124-131, ACM and Austrian Computer Society, 2010.
  97. H. Ma: Ontology-based Agri-Environmental Planning for Whole Farm Plans, in Proc. 29th International Conference on Conceptual Modeling (ER) Workshops, Lecture Notes in Computer Science, vol. 6413, pp. 65-74, Springer, 2010.
  98. H. Ma, K. Schewe, B. Thalheim: Modelling and Maintenance of Very Large Database Schemata Using Meta-Structures, in Proc. 8th International Conference on Information Systems Technology and its Applications (ISTA), Lecture Notes in Informatics, pp. 17-28, 2009.
  99. H. Ma, K. Schewe, B. Thalheim: Geometrically Enhanced Conceptual Modeling, in Proc. 28th International Conference on Conceptual Modelling (ER), Lecture Notes in Computer Science, vol. 5829, pp. 219-233, Springer, 2009.
  100. H. Ma, K. Schewe, B. Thalheim, Q. Wang: A Service-Oriented Approach to Web Warehousing, in Proc. 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS), ACM and Austrian Computer Society, pp. 94-101, 2009.
  101. H. Ma, K. Schewe, Q. Wang: An Abstract Model for Service Provision, Search and Composition, in Proc. 4th IEEE Asia-Pacific Services Computing Conference (APSCC), pp. 95-102, 2009. Best paper award.
  102. H. Ma, R. Noack, K. Schewe: Algebraic Meta-Structure Handling of Huge Database Schemata, in Proc. 28th International Conference on Conceptual Modeling (ER) Workshops, Lecture Notes in Computer Science, vol. 5833, pp. 12-21, Springer, 2009.
  103. B. Thalheim, K. Schewe, H. Ma: Conceptual Application Domain Modelling, in Proc. 6th Asia-Pacific Conference on Conceptual Modelling (APCCM), CRPIT, vol. 96, pp. 49-57, Australian Computer Society, 2009.
  104. H. Ma, K. Schewe, B. Thalheim: Context Analysis: Towards Pragmatics of Web Information Systems Design, in Proc. 5th Asia-Pacific Conference on Conceptual Modelling (APCCM), CRPIT, vol. 79, pp. 69-78, Australian Computer Society, 2008.
  105. H. Ma, R. Noack, F. Riaz-ud-Din, K. Schewe, B. Thalheim: Capturing Forms in Web Information Systems, in Proc. 4th International Conference on Innovations in Information Technology, pp. 198-202, IEEE, 2007.
  106. H. Ma, M. Kirchberg: Cost-Based Fragmentation for Complex Value Databases, in Proc. 26th International Conference on Conceptual Modeling (ER), Lecture Notes in Computer Science, vol. 4802, pp. 72-86, Springer, 2007.
  107. H. Ma, K. Schewe, Q. Wang: A Heuristic Approach to Cost-Efficient Derived Horizontal Fragmentation of Complex Value Databases, in Proc. 18th Australasian Database Conference (ADC), CRPIT, vol. 63, pp.103-112, Australian Computer Society, 2007.
  108. S. Hartmann, H. Ma, K.-D. Schewe: Cost-Based Vertical Fragmentation for XML, in Proc. International Workshop on Database Management and Application over Networks - DBMAN, Lecturer Notes in Computer Science, vol. 4537, pp. 12–24, Springer, 2007.
  109. H. Ma, K. Schewe, J. Zhao: View Integration in Data Warehouse Design Using Typed Abstract State Machines and Strong Data Refinement, in Proc. 6th International Conference on Quality Software (QSIC), pp. 175-182, IEEE, 2006.
  110. H. Ma, K. Schewe, M. Kirchberg: A Heuristic Approach to Vertical Fragmentation Incorporating Query Information, in Proc. 7th International Baltic Database and Information Systems Conference (DB&IS), pp. 69-76, IEEE, 2006.
  111. H. Ma, K. Schewe, Q. Wang: A Heuristic Approach to Cost-Efficient Fragmentation and Allocation of Complex Value Databases, in Proc. 17th Australasian Database Conference (ADC), CRPIT vol. 49, pp.119-128, Australian Computer Society, 2006.
  112. H. Ma, K.-D. Schewe, B. Thalheim: Integration and Cooperation of Media Types, in Information Systems Technology and its Applications, in Proc. 4th International Conference on Information Systems Technology and its Applications, Lecture Notes in Informatics, vol. P-63, pp. 139-153, 2005.
  113. H. Ma, K.-D. Schewe: Heuristic Horizontal XML Fragmentation, in Proc. Conference on Advanced Information Systems Engineering (CAiSE) 2005, pp. 131-136, FEUP, 2005.
  114. H. Ma, K.-D. Schewe: Query Optimisation as Part of Distribution Design for Complex Value Databases, in Proc. 15th European-Japanese Conference on Information Modelling and Knowledge Bases, pp. 269-276, Tallinn University of Technology, 2005.
  115. H. Ma, K.-D. Schewe, J. Zhao: Cost Optimisation for Distributed Data Warehouses, in Proc. Hawaii International Conference on System Sciences 2005, pp. 283-292, 2005.
  116. J. Zhao, H. Ma: Quality-Assured Design of On-Line Analytical Processing Systems using Abstract State Machines, In Proc. of the Fourth International Conference on Quality Software, pp. 224-231, IEEE Computer Society Press, 2004.
  117. H. Ma, K.-D. Schewe: Query Cost Analysis for Horizontally Fragmented Complex Value Databases, in Proc. 3rd Chilean Database Workshop, 2004, 10 pgs.
  118. H. Ma, K.-D. Schewe: A Heuristic Approach to Horizontal Fragmentation in Object Oriented Databases, In Proc. Baltic Database and Information Systems Conference, pp. 31-46, Riga, Latvia, 2004.
  119. H. Ma, K.-D. Schewe: Fragmentation of XML Documents, in Proc. SBBD 2003, pp. 200-214, Manaus (Brazil), 2003.
  120. H. Ma, K.-D. Schewe, S. Hartmann and M. Kirchberg: Distribution Design for XML Documents. In Proc. the Third International Conference on Electronic Commerce Engineering (ICeCE) pp. 1007-1012, Hangzhou, China, 2003
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