Yanchi Li

Yanchi Li (李延炽) has been pursuing a Ph.D. degree in the School of Computer Science at China University of Geosciences (Wuhan, China) since 2023, supervised by Prof. Wenyin Gong and co-supervised by Prof. Qiong Gu. Since 2025. He has also been a visiting Ph.D. student in the College of Computing and Data Science at Nanyang Technological University (Singapore), supervised by Prof. Yew-Soon Ong.

He served as a referee for international journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Computational Intelligence Magazine, Artificial Intelligence Review, Swarm and Evolutionary Computation, Expert Systems with Applications, etc.

Email: int_lyc<at>cug.edu.cn

GitHubarrow-up-right, ResearchGatearrow-up-right, GoogleScholararrow-up-right

Research Interests

Evolutionary Multitasking, Multitask Optimization, Evolutionary Reinforcement Learning.

Publications

Journal Publications

  1. Y. Li, X. Wu, W. Gong, M. Xu, Y. Wang and Q. Gu, "Evolutionary competitive multiobjective multitasking: one-pass optimization of heterogeneous Pareto solutionsarrow-up-right" in IEEE Transactions on Evolutionary Computation, vol. 29, no. 6, pp. 2757-2770, Dec. 2025. [source codearrow-up-right]

  2. Q. Gu, Y. Li*(cor), W. Gong*, Z. Yuan, B. Ning, C. Hu and J. Wu, "Progressive auto-encoding for domain adaptation in evolutionary multi-task optimizationarrow-up-right", in Applied Soft Computing, vol.29, pp. 113916, Dec. 2025. [source codearrow-up-right]

  3. Y. Li, W. Gong and Q. Gu, "Transfer task-averaged natural gradient for efficient many-task optimizationarrow-up-right," in IEEE Transactions on Evolutionary Computation, vol. 29, no. 5, pp. 1952-1965, Oct. 2025. [source codearrow-up-right]

  4. Y. Li, D. Li, W. Gong and Q. Gu, "Multiobjective multitask optimization via diversity and convergence oriented knowledge transferarrow-up-right," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 3, pp. 2367-2379, Mar. 2025. [source codearrow-up-right]

  5. Y. Li and W. Gong, "Multiobjective multitask optimization with multiple knowledge types and transfer adaptationarrow-up-right," in IEEE Transactions on Evolutionary Computation, vol. 29, no. 1, pp. 205-216, Feb. 2025. [source codearrow-up-right]

  6. Y. Li, W. Gong and S. Li, "Multitask evolution strategy with knowledge-guided external samplingarrow-up-right," in IEEE Transactions on Evolutionary Computation, vol. 28, no. 6, pp. 1733-1745, Dec. 2024. [source codearrow-up-right]

  7. Y. Li, W. Gong, Z. Hu and S. Li, "A competitive and cooperative evolutionary framework for ensemble of constraint handling techniquesarrow-up-right," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 4, pp. 2440-2451, Apr. 2024. [source codearrow-up-right]

  8. Y. Li, W. Gong and S. Li, "Multitasking optimization via an adaptive solver multitasking evolutionary frameworkarrow-up-right," in Information Sciences, vol. 630, pp. 688-712, Jun. 2023. [source codearrow-up-right]

  9. Y. Li, W. Gong and S. Li, "Evolutionary competitive multitasking optimization via improved adaptive differential evolutionarrow-up-right," in Expert Systems with Applications, vol. 217, pp. 119550, May. 2023. [source codearrow-up-right]

Conference Publications

  1. Y. Li, W. Gong and Q. Gu, "Transfer search directions among decomposed subtasks for evolutionary multitasking in multiobjective optimizationarrow-up-right," in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '24), pp. 557–565, Jul. 2024. [source codearrow-up-right]

  2. Y. Li, W. Gong and S. Li, "Evolutionary constrained multi-task optimization: benchmark problems and preliminary resultsarrow-up-right," in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22), pp. 443–446, Jul. 2022. [source codearrow-up-right]

Preprints

  1. Y. Li, W. Gong, F. Ming, T. Zhang, S. Li and Q. Gu, "MToP: A MATLAB optimization platform for evolutionary multitaskingarrow-up-right," in arXiv preprint arXiv:2312.08134, Dec. 2023. [source codearrow-up-right]

Last updated