FENGYANG
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Fengyang Sun

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Biography

Currently, I am pursuing a PhD in Computer Science at Victoria University of Wellington, under the supervision of A/Prof. Hui Ma and Aaron Chen, since 2022. I received my Master’s degree in Computer Science and Technology from the University of Jinan in 2020, supervised by Prof. Lin Wang.

My research interests center on optimization and its applications, including optimization algorithms, benchmark problem analysis, machine learning for optimization, and optimization in AI security. My current work focuses on applying estimation of distribution algorithms (EDAs) to tackle challenging combinatorial problems, particularly IoT service composition with replication.

News

  • 11/2022, 1 paper has been accepted by AAAI 2023.
  • 08/2025, 1 journal paper has been accepted by Future Generation Computer Systems.
  • Recent Projects

    To be updated.1

    Talks

    To be updated.

    Selected Publications

    I'm interested in using advanced Estimation of Distribution for many types of optimization (e.g. Combinatorial, Continuous, Multi-Objective, and Constraint problems).

    Journal Papers:

    1. Multi-Objective IoT Service Composition with Replication Using Memetic NSGA-II with Bottleneck-Driven Local Search
      Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann
      Future Generation Computer Systems 2025, 175:108039 | paper |

    2. NEEP-ADF: Neuro-Encoded Expression Programming with Automatically Defined Functions
      Jun Ma, Haoran Shan, Fengyang Sun, Lin Wang, Shuangrong Liu, Houguan Zhu, Fenghui Gao, Junteng Zheng, Bo Yang, Qinfei Li
      Information Sciences 2025, 704:121957 | paper |

    3. Factorization of broad expansion for broad learning system
      Jun Ma, Jiawei Fan, Lin Wang, CL Philip Chen, Bo Yang, Fengyang Sun, Jin Zhou, Xiaojing Zhang, Fenghui Gao, Na Zhang
      Information Sciences 2023, 630:271-285 | paper |

    4. Nearest vertex attraction for actively reducing loss
      Fengyang Sun, Shuo Kong, Xiaojing Zhang, Lin Wang, Bo Yang, Shuangrong Liu, Qidong Wang
      Cognitive Systems Research 2021, 70:18-28 | paper |

    5. A Neuro-diversified Benchmark Generator for Black Box Optimization
      Fengyang Sun, Lin Wang, Bo Yang
      Information Sciences 2021, 573:475-492 | paper | code

    Conference Papers:

    1. NEEP-RLAO: Neural Encoded Expression Programming with Reinforcement Learning-Assisted Optimization
      Haoran Shan, Liangliang Zhang, Fengyang Sun, Yingqi Li, Lin Wang, Pan Zhang, Wenwei Wang, Bo Yang
      International Conference on Intelligent Computing (ICIC 2019), 375-387 | paper |

    2. Improving Controllability of Chaotic Landscape Generators by Property Evolution
      Bo Zhang, Fengyang Sun, Lin Wang, Bo Yang
      IEEE Congress on Evolutionary Computation (CEC 2025), 1-8 | paper |

    3. Population-Based Incremental Learning for Effective IoT Service Composition with Replication
      Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann
      IEEE International Conference on Software Services Engineering (SSE 2025), 74-76 | paper |

    4. IoT Service Composition—An Estimation of Distribution Algorithm with Adaptive Bias
      Fengyang Sun, Hui Ma, Gang Chen, Sven Hartmann
      IEEE Congress on Evolutionary Computation (CEC 2023), 1-8 | paper |

    5. OPT-GAN: a broad-spectrum global optimizer for black-box problems by learning distribution
      Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang
      Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023), 37(10):12462-12472 | paper |

    6. A novel graphic bending transformation on benchmark
      Chunxiuzi Liu, Fengyang Sun, Qingrui Ni, Lin Wang, Bo Yang
      IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), 1538-1543 | paper |

    7. A Novel Velocity Reinforced Mechanism on Improving Particle Swarm optimization for Ill-conditioned Problems
      Fengyang Sun, Chunxiuzi Liu, Linping Wu, Lin Wang, Shuangrong Liu, Bo Yang
      IEEE Congress on Evolutionary Computation (CEC 2020), 1-8 | paper |

    8. A Novel Neural Network-based Symbolic Regression Method: Neuro-Encoded Expression Programming
      Aftab Anjum#, Fengyang Sun#, Lin Wang, Jeff Orchard
      International Conference on Artificial Neural Networks (ICANN 2019) (# equal contribution) | paper | code

    9. Chinese herbal medicine classification using convolutional neural network with multiscale images and data augmentation
      Tianhao Li, Fengyang Sun, Runyuan Sun, Lin Wang, Meihui Li, Huawei Yang
      International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2018), 109-113 | paper |

    10. A Novel Multi-population Particle Swarm Optimization with Learning Patterns Evolved by Genetic Algorithm
      Chunxiuzi Liu, Fengyang Sun, Qingbei Guo, Lin Wang, Bo Yang
      International Conference on Intelligent Computing (ICIC 2018), 70-80 | paper |

    11. Edge Detection for Cement Images Based on Interactive Genetic Algorithm
      Guangyue Gao, Lin Wang, Bo Yang, Liangliang Zhang, Fengyang Sun, Ajith Abraham, Shuangrong Liu
      International Conference on Hybrid Intelligent Systems (HIS 2017), 41-50 | paper |

    12. A Novel Method for Generating Benchmark Functions Using Recurrent Neural Network
      Fengyang Sun, Lin Wang, Bo Yang, Jin Zhou, Zhenxiang Chen
      International Conference on Intelligent Computing (ICIC 2017), 768-773 | paper |

    13. Improving Multi-layer Particle Swarm Optimization Using Powell Methodk
      Fengyang Sun, Lin Wang, Bo Yang, Zhenxiang Chen, Jin Zhou, Kun Tang, Jinyan Wu
      International Conference on Swarm Intelligence (ICSI 2017), 166-173 | paper |

    Patents

  • 2019, Chinese Herbal Medicine Identification Method and System Based on Double Scale Convolutional Neural Network, Patent, ZL201811525966.1, 2019.4.18.

  • 2022, Chinese Herbal Medicine Identification Method and System Based on GPU and Double Scale Image Feature Comparison, Patent, 201811527910X, 2022.9.23.

  • 2019, Human Search Data Collection Software for Simulation, Software Copyright, 2019SR0833525, 2019.8.12.

  • Awards

  • 2021, Outstanding Master Thesis of Shandong Province, Department of Education of Shandong Province.

  • 2021, Outstanding Master Thesis of Shandong Association of Artificial Intelligence, Shandong Association of Artificial Intelligence.

  • 2017, Third Prize of China’s National Post-Graduate Mathematical Contest in Modeling, China Academic Degrees & Graduate Education Development Center.

  • 2018, First Prize of Graduate Academic Scholarship, University of Jinan. (Top 5%)

  • Services

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