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Xiaoyu He 0001
Person information
- affiliation: Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
Other persons with the same name
- Xiaoyu He — disambiguation page
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2020 – today
- 2024
- [j22]Xiaoyu He, Xueyan Tang, Wentong Cai, Jingning Li:
A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees. Artif. Intell. 329: 104084 (2024) - [j21]Xiaoyu He, Xueyan Tang, Zibin Zheng, Yuren Zhou:
Noisy Evolutionary Optimization With Application to Grid-Based Persistent Monitoring. IEEE Trans. Evol. Comput. 28(6): 1838-1851 (2024) - [i4]Chenlin Wu, Xiaoyu He, Zike Li, Zibin Zheng:
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning. CoRR abs/2409.15955 (2024) - 2022
- [j20]Xiaoyu He, Zibin Zheng, Yuren Zhou, Chuan Chen:
QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning. SIAM J. Optim. 32(1): 228-255 (2022) - [j19]Yuren Zhou, Xiaoyu He, Zefeng Chen, Siyu Jiang:
A Neighborhood Regression Optimization Algorithm for Computationally Expensive Optimization Problems. IEEE Trans. Cybern. 52(5): 3018-3031 (2022) - [j18]Zefeng Chen, Yuren Zhou, Xiaoyu He, Jun Zhang:
Learning Task Relationships in Evolutionary Multitasking for Multiobjective Continuous Optimization. IEEE Trans. Cybern. 52(6): 5278-5289 (2022) - [j17]Xiaoyu He, Zibin Zheng, Zefeng Chen, Yuren Zhou:
Adaptive Evolution Strategies for Stochastic Zeroth-Order Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1271-1285 (2022) - [j16]Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin:
Distributed Evolution Strategies for Black-Box Stochastic Optimization. IEEE Trans. Parallel Distributed Syst. 33(10): 3718-3731 (2022) - [j15]Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee. IEEE Trans. Parallel Distributed Syst. 33(12): 4783-4800 (2022) - [i3]Xiaoyu He, Zibin Zheng, Yuren Zhou:
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization. CoRR abs/2203.12675 (2022) - [i2]Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin:
Distributed Evolution Strategies for Black-box Stochastic Optimization. CoRR abs/2204.04450 (2022) - 2021
- [j14]Guang-Yu Zhang, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiaoyu He:
Joint representation learning for multi-view subspace clustering. Expert Syst. Appl. 166: 113913 (2021) - [j13]Xiaoyu He, Yuren Zhou, Zefeng Chen, Jun Zhang, Wei-Neng Chen:
Large-Scale Evolution Strategy Based on Search Direction Adaptation. IEEE Trans. Cybern. 51(3): 1651-1665 (2021) - [j12]Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He, Xinsheng Lai, Xiaoyun Xia:
Running Time Analysis of MOEA/D on Pseudo-Boolean Functions. IEEE Trans. Cybern. 51(10): 5130-5141 (2021) - [j11]Yuren Zhou, Yi Xiang, Xiaoyu He:
Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations. IEEE Trans. Evol. Comput. 25(1): 172-186 (2021) - [j10]Xiaoyu He, Zibin Zheng, Yuren Zhou:
MMES: Mixture Model-Based Evolution Strategy for Large-Scale Optimization. IEEE Trans. Evol. Comput. 25(2): 320-333 (2021) - [i1]Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee. CoRR abs/2108.00365 (2021) - 2020
- [j9]Xiaoyu He, Yuren Zhou, Zefeng Chen, Siyu Jiang:
An evolutionary approach to black-box optimization on matrix manifolds. Appl. Soft Comput. 97(Part B): 106773 (2020) - [j8]Guang-Yu Zhang, Yu-Ren Zhou, Xiaoyu He, Chang-Dong Wang, Dong Huang:
One-step Kernel Multi-view Subspace Clustering. Knowl. Based Syst. 189 (2020)
2010 – 2019
- 2019
- [j7]Yuren Zhou, Xiaoyu He, Yi Xiang, Shaowei Cai:
A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation. Artif. Intell. 276: 105-129 (2019) - [j6]Zefeng Chen, Yuren Zhou, Xiaoyu He:
Handling expensive multi-objective optimization problems with a cluster-based neighborhood regression model. Appl. Soft Comput. 80: 211-225 (2019) - [j5]Siyu Jiang, Xiaoyu He, Yuren Zhou:
Many-objective evolutionary algorithm based on adaptive weighted decomposition. Appl. Soft Comput. 84 (2019) - [j4]Xiaoyu He, Yuren Zhou, Zefeng Chen:
An Evolution Path-Based Reproduction Operator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(1): 29-43 (2019) - [j3]Xiaoyu He, Yuren Zhou, Zefeng Chen:
Evolutionary Bilevel Optimization Based on Covariance Matrix Adaptation. IEEE Trans. Evol. Comput. 23(2): 258-272 (2019) - [j2]Xiaoyu He, Yuren Zhou, Zefeng Chen, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Dynamical Decomposition. IEEE Trans. Evol. Comput. 23(3): 361-375 (2019) - [c2]Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He:
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem. AAAI 2019: 2296-2303 - [c1]Zefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang:
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning. IJCAI 2019: 2130-2136 - 2018
- [j1]Xiaoyu He, Yuren Zhou:
Enhancing the performance of differential evolution with covariance matrix self-adaptation. Appl. Soft Comput. 64: 227-243 (2018)
Coauthor Index
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