I welcome self-motivated students who are interested in artificial intelligence, intelligent optimization, and related areas. If you are interested in working with me, please contact me at yanbai@dgut.edu.cn.

欢迎对人工智能、智能优化及相关领域感兴趣、积极主动的同学联系我，共同开展学习与研究。联系邮箱：yanbai@dgut.edu.cn。

Experience个人经历

• Lecturer, School of Computer Science and Technology, Dongguan University of Technology, 2025-present

• Research Assistant Professor, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology (SUSTech), 2021-2025

• Postdoctoral Fellow, Department of Computer Science and Engineering, SUSTech, 2019-2021 (Supervisors: A/Prof. Jin Zhang and Chair Prof. Xin Yao)

• Ph.D., Optical Engineering, Beijing University of Technology, 2015-2019 (Supervisor: Prof. Zhihai Wang)

• Joint Ph.D. Student, University of Technology Sydney, Australia, 2017–2018 (funded by the China Scholarship Council; Supervisor: Prof. Andrew J. Zhang)

• M.Sc., Technology and Instrument of Test and Measurement, North University of China, 2011-2014

• B.Sc., Materials Forming and Control Engineering, Shandong University of Technology, 2007-2011

• 讲师，东莞理工学院计算机科学与技术学院，2025年-至今

• 研究助理教授，南方科技大学可信自主系统研究院，2021-2025

• 博士后，南方科技大学计算机科学与工程系，2019-2021

• 工学博士，北京工业大学光学工程专业，2015-2019

• 联合培养博士生，澳大利亚悉尼科技大学，2017-2018

• 工学硕士，中北大学测试计量技术及仪器专业，2011-2014

• 工学学士，山东理工大学材料成型及控制工程专业，2007-2011

Research Interests研究方向

Computational intelligence, evolutionary optimization, machine learning, and their applications to signal processing.

计算智能、演化优化、机器学习及其在信号处理中的应用。

Research Grants科研项目

• Guangdong Basic and Applied Basic Research Foundation (Youth Fund), Principal Investigator, 11/2025-10/2028

• Guangdong University Young Innovative Talents Program Project, Principal Investigator, 10/2024-10/2026

• Shenzhen Postdoctoral Research Fund, Principal Investigator, 12/2021-12/2024

• 广东省基础与应用基础研究基金青年项目，项目负责人，2025年11月-2028年10月

• 广东省高校青年创新人才项目，项目负责人，2024年10月-2026年10月

• 深圳市博士后科研资助项目，项目负责人，2021年12月-2024年12月

Selected Papers代表性论文

A unified evolutionary framework for structural-topological mixed-variable optimization in STAR-RIS-aided systems
Yan B, Zhang J, and Zhao Q*
Swarm and Evolutionary Computation, 2026, 102501. doi: 10.1016/j.swevo.2026.102501.

Heuristic solution to joint deployment and beamforming design for STAR-RIS aided networks
Yan B, Zhao Q, Zhang J*, and Zhang J A
Expert Systems with Applications, 2025, 267: 126144. doi: 10.1016/j.eswa.2024.126144.

Shortening scanning trajectory in single-transceiver SAR imaging via offset-based range focusing
Sheng Y, Yan B, Li J, Ma X, and Zhang J*
IEEE Transactions on Microwave Theory and Techniques, 2025, 73(10): 8136-8149. doi: 10.1109/TMTT.2025.3573835.

AutoOpt: a general framework for automatically designing metaheuristic optimization algorithms with diverse structures
Zhao Q, Yan B, Hu T, Chen X, Yang J, Cheng S, and Shi Y*
IEEE Transactions on Emerging Topics in Computational Intelligence, 2025, 9(5): 3690-3703. doi: 10.1109/TETCI.2025.3561629.

Automated metaheuristic algorithm design with autoregressive learning
Zhao Q, Liu T, Yan B, Duan Q, Yang J, and Shi Y*
IEEE Transactions on Evolutionary Computation, 2025, 29(5): 2004-2018. doi: 10.1109/TEVC.2024.3464677.

Gridless evolutionary approach for line spectral estimation with unknown model order
Yan B, Zhao Q, Zhang J*, Zhang J A, and Yao X
IEEE Transactions on Cybernetics, 2024, 54(2): 935-947. doi: 10.1109/TCYB.2022.3179378.

Automated design of metaheuristic algorithms: a survey
Zhao Q, Duan Q, Yan B, Cheng S, and Shi Y*
Transactions on Machine Learning Research, 2024. (Survey Certificate Award)

Evolutionary robust clustering over time for temporal data
Zhao Q, Yan B, Yang J, and Shi Y*
IEEE Transactions on Cybernetics, 2023, 53(7): 4334-4346. doi: 10.1109/TCYB.2022.3167711.

Fitness landscape analysis and niching genetic approach for hybrid beamforming in RIS-aided communications
Yan B, Zhao Q, Li M, Zhang J*, Zhang J A, and Yao X
Applied Soft Computing, 2022, 131: 109725. doi: 10.1016/j.asoc.2022.109725.

Evolutionary dynamic multiobjective optimization via learning from historical search process
Zhao Q, Yan B, Shi Y*, and Middendorf M
IEEE Transactions on Cybernetics, 2022, 52(7): 6119-6130. doi: 10.1109/TCYB.2021.3059252.

Multiobjective bilevel evolutionary approach for off-grid direction-of-arrival estimation
Yan B, Zhao Q, Zhang J*, Zhang J A, and Yao X
Applied Soft Computing, 2021, 113: 107954. doi: 10.1016/j.asoc.2021.107954.

Adaptive sorting-based evolutionary algorithm for many-objective optimization
Liu C, Zhao Q*, Yan B, Elsayed S, Ray T, and Sarker R
IEEE Transactions on Evolutionary Computation, 2019, 23(2): 247-257. doi: 10.1109/TEVC.2018.2848254.

Transfer learning-assisted multi-objective evolutionary clustering framework with decomposition for high-dimensional data
Liu C, Zhao Q*, Yan B, Elsayed S, and Sarker R
Information Sciences, 2019, 505: 440-456. doi: 10.1016/j.ins.2019.07.099.

Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction
Yan B*, Zhao Q, Wang Z, and Zhang J A
Information Sciences, 2018, 462: 141-159. doi: 10.1016/j.ins.2018.06.019.

Teaching Courses主讲课程

• Digital Logic, undergraduate course, Fall 2025

• Artificial Intelligence B, undergraduate course, Fall 2026 & Spring 2026

• 数字逻辑，本科生课程，2025秋

• 人工智能B，本科生课程，2026秋、2026春

Student Supervision学生指导