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ORCIDZhenhua Li 0005
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Zhenhua Li — disambiguation page
- Zhenhua Li 0001
![[0000-0001-7286-122X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7286-122X")
— Tsinghua University, School of Software / TNLIST, Beijing, China (and 2 more) - Zhenhua Li 0002 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
- Zhenhua Li 0003 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Zhenhua Li 0004 — Chinese Academy of Sciences, Institute of Electronics, Beijing, China (and 1 more)
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Journal Articles
- 2023
[j9]Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang:
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. IEEE Trans. Evol. Comput. 27(6): 1604-1617 (2023)- [j8]Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang:
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 780-790 (2023) - 2022
- [j7]Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li:
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(6): 1553-1565 (2022) - [j6]Zhenhua Li, Shuo Zhang, Xinye Cai, Qingfu Zhang, Xiaomin Zhu, Zhun Fan, Xiuyi Jia:
Noisy Optimization by Evolution Strategies With Online Population Size Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5816-5828 (2022) - 2020
- [j5]Zhenhua Li, Qingfu Zhang:
Variable metric evolution strategies by mutation matrix adaptation. Inf. Sci. 541: 136-151 (2020) - [j4]Zhenhua Li, Xi Lin, Qingfu Zhang, Hai-Lin Liu:
Evolution strategies for continuous optimization: A survey of the state-of-the-art. Swarm Evol. Comput. 56: 100694 (2020) - [j3]Zhenhua Li, Qingfu Zhang, Xi Lin, Hui-Ling Zhen:
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. 50(5): 2073-2083 (2020) - 2018
- [j2]Zhenhua Li, Qingfu Zhang:
A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 22(5): 637-646 (2018) - 2015
- [j1]Zhenhua Li, Hai-Lin Liu:
Integrating Preference by Means of Desirability Function with Evolutionary Multi-objective Optimization. Intell. Autom. Soft Comput. 21(2): 197-209 (2015)
Conference and Workshop Papers
- 2019
- [c7]Zhenhua Li, Jingda Deng, Weifeng Gao, Qingfu Zhang, Hai-Lin Liu:
An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. CEC 2019: 936-943 - [c6]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. NeurIPS 2019: 12037-12047 - 2017
- [c5]Zhenhua Li, Qingfu Zhang:
An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path. CEC 2017: 913-920 - 2016
- [c4]Zhenhua Li, Qingfu Zhang:
What Does the Evolution Path Learn in CMA-ES? PPSN 2016: 751-760 - 2014
- [c3]Zhenhua Li, Hai-Lin Liu:
Integrating Preferred Weights with Decomposition Based Multi-objective Evolutionary Algorithm. CIS 2014: 58-63 - [c2]Qiang Wang, Hai-Lin Liu, Zhenhua Li, Yiu-ming Cheung, Jun Zhang:
An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold. SEAL 2014: 713-722 - 2012
- [c1]Zhenhua Li, Hai-Lin Liu:
Preference-Based Evolutionary Multi-objective Optimization. CIS 2012: 71-76
Informal and Other Publications
- 2019
- [i4]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. CoRR abs/1912.12854 (2019) - 2018
- [i3]Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Nonlinear Collaborative Scheme for Deep Neural Networks. CoRR abs/1811.01316 (2018) - [i2]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. CoRR abs/1811.01323 (2018) - 2017
- [i1]Zhenhua Li, Qingfu Zhang:
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation. CoRR abs/1710.03996 (2017)
Coauthor Index
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