主要研究领域包括: 演化计算, 机器学习和AI安全等. 

招收计算机科学技术, 电子信息和软件工程专业研究生

关于演化计算方面研究介绍, 可以参考https://hackmd.io/s/H1fSWGj5kx

部分发表论文: 

期刊论文: 

[1].  Li, Zhenhua*; Wu, Wei; Zhang, Qingfu; Cai, Xinye; Exploring high-dimensional optimization by sparse and low-rank evolution strategy, Swarm and Evolutionary Computation, 2025, 92(1)：101828.

[2].  Zhenhua Li, Huilin Cheng, Xinye Cai*, Jun Zhao, Qingfu Zhang, SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks , IEEE Transactions on Emerging Topics in Computational Intelligence, Volume: 7, Issue: 3, 780 – 790, 2023

[3].  Zhenhhua Li*; Shuo Zhang; Xinye Cai*; Qingfu Zhang; Xiaomin Zhu; Zhun Fan; Xiuyi Jia; Noisy Optimization by Evolution Strategies With Online Population Size Learning, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol: 52 no: 9, pp.5816-5828, 2022.

[4].  Zhenhua Li*, Qingfu Zhang, Xi Lin, and Huiling Zhen, Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization, IEEE Transactions on Cybernetics, vol 50(5), pp.2073 - 2083, 2020.

[5].  Zhenhhua Li*, Qingfu Zhang, Variable metric evolution strategies by mutation matrix adaptation, Information Sciences, Volume 541, Pages 136-151, 2020.

[6].  Zhenhhua Li*, Xi Lin, Qingfu Zhang, and Hai-Lin Liu, EEvolution strategies for continuous optimization: A survey of the state-of-the-art, Swarm and Evolutionary Computation, Volume 56, 100694, 2020.

[7].  Zhenhua Li*, and Qingfu Zhang, A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization, IEEE Transactions on Evolutionary Computation, vol.22, no.5, pp.637–646, 2018.

[8].  Xinye Cai*; Qi Sun; Zhenhua Li; Yushun Xiao; Yi Mei; Qingfu Zhang; Xiaoping Li, A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Volume: 26, Issue: 6, p.1553 – 1565, 2022.

会议论文:

[9].  Li, Yining; You, Shu; Chen, Yihan; Li, Zhenhua*; Efficient Local Imperceptible Random Search for Black-Box Adversarial Attacks, Advanced Intelligent Computing Technology and Applications, ICIC 2024.

[10].  Hu, Minghui; Li, Zhenhua; Zhang, Hanwen; Enhancing Mutation Matrix Adaptation Evolution Strategy with Orthogonal Sampling, Advanced Intelligent Computing Technology and Applications, ICIC 2024.

[11].  Chen, Siyi; Li, Zhenhua; Liang, Dong; CD-Font: One-Shot Font Generation via Conditional Diffusion Model with Disentangled Guidance, Advanced Intelligent Computing Technology and Applications, ICIC 2024.

[12].  Shu You, Zhenhua Li*, Refining Adversarial Perturbations By Evolutionary Strategies InBlack Box Attack, IEEE International Conference on Computational Intelligence and security, , 2023

[13].  Huilin Cheng, Zhenhua Li*, Xinye Cai, Black-Box Adversarial Attack by Evolution Strategy with Binary Search, IEEE International Conference on Computational Intelligence and security, 469-473, 2021

[14].  Zhenhua Li* and C.A.Shoemaker, Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance Exploration, in Procedings of the Congress on Evolutionary Computation (CEC), 2021.

[15].  Zhenhhua Li*, Jingda Deng, Weifeng Gao, Qingfu Zhang, and Hai-Lin Liu, An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension, in IEEE Congress on Evolutionary Computation, pp.936 -943, 2019.

[16].  Lin Xi*, Hui-Ling Zhen, Zhenhhua Li, Qingfu Zhang, and Sam Kwong. Pareto Multi-Task Learning.33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019.