何笑雨，副教授，硕士生导师，565net必赢客户端百人计划青年学术骨干。博士毕业于565net必赢客户端。先后在565net必赢客户端和南洋理工大学从事博士后研究工作。

 

研究兴趣

智能优化方法及其在人工智能和控制论中的应用，包括

  • 演化学习方法：机器学习、联邦学习、数据挖掘的演化计算求解方法
  • 人工智能的底层优化问题：同步/异步并行优化、面向大数据的随机优化、流形优化、多目标/多层次优化等
  • 智能控制方法：演化多智能体系统、强化学习的黑盒策略搜索

 

代表性论文

  • He Xiaoyu, Tang Xueyan, Zheng Zibin*, Zhou Yuren. Noisy Evolutionary Optimization With Application to Grid-Based Persistent Monitoring[J]. IEEE Transactions on Evolutionary Computation. (in press)
  • He Xiaoyu, Tang Xueyan*, Cai Wentong, Li Jingning. A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees. Artificial Intelligence, 2024, 329: 104084.
  • He Xiaoyu, Zheng Zibin*, Zhou Yuren, Chen Chuan. QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning[J]. SIAM Journal on Optimization, 2022, 32(1): 228-255.
  • He Xiaoyu, Zheng Zibin*, Chen Zefeng, Zhou Yuren. Adaptive Evolution Strategies for Stochastic Zeroth-order Optimization[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(5): 1271-1285.
  • He Xiaoyu, Zheng Zibin*, Chen Chuan, Zhou Yuren, Luo Chuan, Lin Qingwei. Distributed Evolution Strategies for Black-box Stochastic Optimization[J]. IEEE Transactions on Parallel and Distributed Systems, 2022, 33(12): 3718-3731.
  • Zhou Yuren, He Xiaoyu*, Chen Zefeng, Jiang Siyu*. A Neighborhood Regression Optimization Algorithm for Computationally Expensive Optimization Problems[J]. IEEE Transactions on Cybernetics, 2022, 52(5): 3018-3031.
  • Zhang Guang Yu, Chen Xiao Wei, Zhou Yu Ren*, Wang Chang Dong, Huang Dong, He Xiao Yu. Kernelized multi-view subspace clustering via auto-weighted graph learning[J]. Applied Intelligence, 2022, 52: 716-731.
  • Chen Zefeng, Zhou Yuren*, He Xiaoyu, Zhang Jun. Learning Task Relationships in Evolutionary Multitasking for Multiobjective Continuous Optimization[J]. IEEE Transactions on Cybernetics, 2022, 52(6): 5278-5289.
  • Che Chunjiang, Li Xiaoli, Chen Chuan*, He Xiaoyu, Zheng Zibin. A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee[J]. IEEE Transactions on Parallel and Distributed Systems, 2022, 33(12): 4783-4800.
  • He Xiaoyu, Zheng Zibin*, Zhou Yuren. MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization[J]. IEEE Transactions on Evolutionary Computation, 2021, 25(2): 320-333.
  • Zhou Yuren, Xiang Yi*, He Xiaoyu*. Constrained Multi-objective Optimization: Test Problem Construction and Performance Evaluations[J]. IEEE Transactions on Evolutionary Computation, 2021, 25(1): 172-186.
  • He Xiaoyu, Zhou Yuren*, Chen Zefeng, Zhang Jun, Chen Weineng. Large-Scale Evolution Strategy Based on Search Direction Adaptation[J]. IEEE Transactions on Cybernetics, 2021, 51(3): 1651-1665.
  • Zhang Guangyu, Zhou Yuren*, Wang Changdong, Huang Dong, He Xiaoyu. Joint representation learning for multi-view subspace clustering[J]. Expert Systems with Applications, 2021, 166: 113913.
  • Huang Zhengxin, Zhou Yuren*, Chen Zefeng, He Xiaoyu, Lai Xinsheng, Xia Xiaoyun. Running Time Analysis of MOEA/D on Pseudo-Boolean Functions[J]. IEEE Transactions on Cybernetics, 2021, 51(10): 5130-5141.
  • He Xiaoyu, Zhou Yuren*, Chen Zefeng, Jiang Siyu. An evolutionary approach to black-box optimization on matrix manifolds[J]. Applied Soft Computing, 2020, 97: 106773.
  • 何笑雨, 周育人*, 陈泽丰. 基于演化策略的矩阵流形黑盒优化方法[J]. 计算机学报, 2020, 43(9): 1604-1623.
  • Zhang Guangyu, Zhou Yuren*, He Xiaoyu, Wang Changdong, Huang Dong. One-step Kernel Multi-view Subspace Clustering[J]. Knowledge-Based Systems, 2020, 189: 105126.
  • Chen Zefeng, Zhou Yuren*, He Xiaoyu, Jiang Siyu. A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning[C]//Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Macao, China: International Joint Conferences on Artificial Intelligence Organization, 2019: 2130-2136.
  • Chen Zefeng, Zhou Yuren*, He Xiaoyu. Handling expensive multi-objective optimization problems with a cluster-based neighborhood regression model[J]. Applied Soft Computing, 2019, 80: 211-225.
  • He Xiaoyu, Zhou Yuren*, Chen Zefeng, Zhang Qingfu. Evolutionary Many-objective Optimization based on Dynamical Decomposition[J]. IEEE Transactions on Evolutionary Computation, 2019, 23(3): 361-375.
  • He Xiaoyu, Zhou Yuren*, Chen Zefeng. Evolutionary Bilevel Optimization based on Covariance Matrix Adaptation[J]. IEEE Transactions on Evolutionary Computation, 2019, 23(2): 258-272.
  • He Xiaoyu, Zhou Yuren*, Chen Zefeng. An Evolution Path-Based Reproduction Operator for Many-Objective Optimization[J]. IEEE Transactions on Evolutionary Computation, 2019, 23(1): 29-43.
  • Zhou Yuren*, He Xiaoyu, Xiang Yi, Cai Shaowei. A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation[J]. Artificial Intelligence, 2019, 276: 105-129.
  • Jiang Siyu, He Xiaoyu*, Zhou Yuren. Many-objective evolutionary algorithm based on adaptive weighted decomposition[J]. Applied Soft Computing, 2019, 84: 105731.
  • Huang Zhengxin, Zhou Yuren*, Chen Zefeng, He Xiaoyu. Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem[C]//Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Hawaii, USA, 2019.
  • He Xiaoyu, Zhou Yuren*. Enhancing the performance of differential evolution with covariance matrix self-adaptation[J]. Applied Soft Computing, 2018, 64: 227-243.

 

科研项目

  • 2021-2023, 国家自然科学基金青年项目，面向大规模黑盒优化的协方差矩阵适应演化策略，主持
  • 2021-2023, 广东省自然科学基金面上项目，面向联邦学习的信息几何优化方法，主持
  • 2020-2021, 广东省基础与应用基础科学基金青年项目，基于混合模型的大规模演化策略研究，主持
  • 2019-2021, 中国博士后科学基金面上项目，面向复杂决策空间的演化多目标优化，主持

 

学术服务

担任多个高水平国际期刊的审稿人，包括：IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Applied Intelligence, Applied Soft Computing, and Swarm and Evolutionary Computation等。

 

讲授课程

《离散数学基础》、《智能算法及应用》、《并行计算与分布式系统》。

 

招生信息

长期招收学硕、专硕，欢迎软件工程、计算机、数学等相关专业的同学报考。同时也欢迎本校学有余力、动手能力强并对科研有浓厚兴趣的本科生加入课题组。

 

联系方式

Email: hexy73@mail.sysu.edu.cn