何笑雨，副教授，碩士生導(dǎo)師，必贏3003no1線路檢測中心百人計(jì)劃青年學(xué)術(shù)骨干。博士畢業(yè)于必贏3003no1線路檢測中心。先后在必贏3003no1線路檢測中心和南洋理工大學(xué)從事博士后研究工作。

 

研究興趣

智能優(yōu)化方法及其在人工智能和控制論中的應(yīng)用，包括

  • 演化學(xué)習(xí)方法：機(jī)器學(xué)習(xí)、聯(lián)邦學(xué)習(xí)、數(shù)據(jù)挖掘的演化計(jì)算求解方法
  • 人工智能的底層優(yōu)化問題：同步/異步并行優(yōu)化、面向大數(shù)據(jù)的隨機(jī)優(yōu)化、流形優(yōu)化、多目標(biāo)/多層次優(yōu)化等
  • 智能控制方法：演化多智能體系統(tǒng)、強(qiáng)化學(xué)習(xí)的黑盒策略搜索

 

代表性論文

  • 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*, 陳澤豐. 基于演化策略的矩陣流形黑盒優(yōu)化方法[J]. 計(jì)算機(jī)學(xué)報(bào), 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.

 

科研項(xiàng)目

  • 2021-2023, 國家自然科學(xué)基金青年項(xiàng)目，面向大規(guī)模黑盒優(yōu)化的協(xié)方差矩陣適應(yīng)演化策略，主持
  • 2021-2023, 廣東省自然科學(xué)基金面上項(xiàng)目，面向聯(lián)邦學(xué)習(xí)的信息幾何優(yōu)化方法，主持
  • 2020-2021, 廣東省基礎(chǔ)與應(yīng)用基礎(chǔ)科學(xué)基金青年項(xiàng)目，基于混合模型的大規(guī)模演化策略研究，主持
  • 2019-2021, 中國博士后科學(xué)基金面上項(xiàng)目，面向復(fù)雜決策空間的演化多目標(biāo)優(yōu)化，主持

 

學(xué)術(shù)服務(wù)

擔(dān)任多個(gè)高水平國際期刊的審稿人，包括：IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Applied Intelligence, Applied Soft Computing, and Swarm and Evolutionary Computation等。

 

講授課程

《離散數(shù)學(xué)基礎(chǔ)》、《智能算法及應(yīng)用》、《并行計(jì)算與分布式系統(tǒng)》。

 

招生信息

長期招收學(xué)碩、專碩，歡迎軟件工程、計(jì)算機(jī)、數(shù)學(xué)等相關(guān)專業(yè)的同學(xué)報(bào)考。同時(shí)也歡迎本校學(xué)有余力、動(dòng)手能力強(qiáng)并對科研有濃厚興趣的本科生加入課題組。

 

聯(lián)系方式

Email: hexy73@mail.sysu.edu.cn