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.
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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:
- 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 |
- 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 |
- 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 |
- 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 |
- 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:
- 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 |
- 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 |
- 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 |
- 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 |
- 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 |
- 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 |
- 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 |
- 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
- 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 |
- 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 |
- 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 |
- 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 |
- 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
To be updated.