# HOME

<div align="left" data-full-width="false"><figure><img src="/files/LrZNIiRJgkFBeWFTTWL8" alt="Yanchi Li" width="188"><figcaption></figcaption></figure></div>

**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; and* international conferences such as *ICML, AAAI, ACM MM*.

**Email:** int\_lyc\<at>cug.edu.cn

[<mark style="color:red;">**GitHub**</mark>](https://github.com/intLyc)<mark style="color:red;">**,**</mark> [<mark style="color:red;">**ResearchGate**</mark>](https://www.researchgate.net/profile/Yanchi-Li-2)<mark style="color:red;">**,**</mark> [<mark style="color:red;">**GoogleScholar**</mark>](https://scholar.google.cz/citations?user=h7hvzUEAAAAJ\&hl=zh-CN)

## **Research Interests**

Evolutionary Multitasking, Multitask Optimization, Evolutionary Reinforcement Learning.

## Publications

1. **Y. Li**, J. Liu, W. Gong, Q. Gu, Y. Zhao, and Y.-S. Ong, "<mark style="color:red;">**Breaking Multi-Task Curse: Reward-weighted evolution for black-box many-task optimization**</mark>," in *<mark style="background-color:orange;">**Forty-third International Conference on Machine Learning (ICML'26)**</mark>*, May. 2026 (Just Accepted). \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MES-RET)]
2. **Y. Li**, W. Gong, T. Zhang, F. Ming, S. Li, Q. Gu, and Y.-S. Ong, "[<mark style="color:red;">**MToP: A MATLAB optimization platform for evolutionary multitasking**</mark>](https://dl.acm.org/doi/10.1145/3812535)," in *<mark style="background-color:orange;">**ACM Transactions on Evolutionary Learning and Optimization**</mark>*, Apr. 2026 (Just Accepted). \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTO-Platform)]
3. **Y. Li**, X. Wu, W. Gong, M. Xu, Y. Wang and Q. Gu, "[<mark style="color:red;">**Evolutionary competitive multiobjective multitasking: one-pass optimization of heterogeneous Pareto solutions**</mark>](https://ieeexplore.ieee.org/document/10819482)" in *<mark style="background-color:orange;">**IEEE Transactions on Evolutionary Computation**</mark>*, vol. 29, no. 6, pp. 2757-2770, Dec. 2025. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/CMO-MTO)]
4. Q. Gu, **Y. Li\*(cor)**, W. Gong\*, Z. Yuan, B. Ning, C. Hu and J. Wu, "[<mark style="color:red;">**Progressive auto-encoding for domain adaptation in evolutionary multi-task optimization**</mark>](https://doi.org/10.1016/j.asoc.2025.113916)", in *<mark style="background-color:orange;">**Applied Soft Computing**</mark>*, vol.29, pp. 113916, Dec. 2025. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTO-Platform/tree/master/MTO/Algorithms/Multi-task/Multi-population/MTEA-PAE)]
5. **Y. Li**, W. Gong and Q. Gu, "[<mark style="color:red;">**Transfer task-averaged natural gradient for efficient many-task optimization**</mark>](https://ieeexplore.ieee.org/document/10680050)," in *<mark style="background-color:orange;">**IEEE Transactions on Evolutionary Computation**</mark>*, vol. 29, no. 5, pp. 1952-1965, Oct. 2025. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/TNG-NES)]
6. **Y. Li**, D. Li, W. Gong and Q. Gu, "[<mark style="color:red;">**Multiobjective multitask optimization via diversity and convergence oriented knowledge transfer**</mark>](https://ieeexplore.ieee.org/document/10833746)," in *<mark style="background-color:orange;">**IEEE Transactions on Systems, Man, and Cybernetics: Systems**</mark>*, vol. 55, no. 3, pp. 2367-2379, Mar. 2025. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTEA-DCK/tree/main)]
7. **Y. Li** and W. Gong, "[<mark style="color:red;">**Multiobjective multitask optimization with multiple knowledge types and transfer adaptation**</mark>](https://ieeexplore.ieee.org/document/10398471)," in *<mark style="background-color:orange;">**IEEE Transactions on Evolutionary Computation**</mark>*, vol. 29, no. 1, pp. 205-216, Feb. 2025. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTDE-MKTA)]
8. **Y. Li**, W. Gong and S. Li, "[<mark style="color:red;">**Multitask evolution strategy with knowledge-guided external sampling**</mark>](https://ieeexplore.ieee.org/document/10309246)," in *<mark style="background-color:orange;">**IEEE Transactions on Evolutionary Computation**</mark>*, vol. 28, no. 6, pp. 1733-1745, Dec. 2024. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTES-KG)]
9. **Y. Li**, W. Gong and Q. Gu, "[<mark style="color:red;">**Transfer search directions among decomposed subtasks for evolutionary multitasking in multiobjective optimization**</mark>](https://dl.acm.org/doi/10.1145/3638529.3653989)," in *<mark style="background-color:orange;">**Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '24)**</mark>*, pp. 557–565, Jul. 2024. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTEA-D-TSD)]
10. **Y. Li**, W. Gong, Z. Hu and S. Li, "[<mark style="color:red;">**A competitive and cooperative evolutionary framework for ensemble of constraint handling techniques**</mark>](https://ieeexplore.ieee.org/document/10387527)," in *<mark style="background-color:orange;">**IEEE Transactions on Systems, Man, and Cybernetics: Systems**</mark>*, vol. 54, no. 4, pp. 2440-2451, Apr. 2024. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/CCEF-ECHT)]
11. **Y. Li**, W. Gong and S. Li, "[<mark style="color:red;">**Multitasking optimization via an adaptive solver multitasking evolutionary framework**</mark>](https://www.sciencedirect.com/science/article/pii/S0020025522012191)," in *<mark style="background-color:orange;">**Information Sciences**</mark>*, vol. 630, pp. 688-712, Jun. 2023. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTEA-SaO)]
12. **Y. Li**, W. Gong and S. Li, "[<mark style="color:red;">**Evolutionary competitive multitasking optimization via improved adaptive differential evolution**</mark>](https://www.sciencedirect.com/science/article/abs/pii/S0957417423000519)," in *<mark style="background-color:orange;">**Expert Systems with Applications**</mark>*, vol. 217, pp. 119550, May. 2023. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/MTSRA)]
13. **Y. Li**, W. Gong and S. Li, "[<mark style="color:red;">**Evolutionary constrained multi-task optimization: benchmark problems and preliminary results**</mark>](https://dl.acm.org/doi/10.1145/3520304.3528890)," in *<mark style="background-color:orange;">**Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22)**</mark>*, pp. 443–446, Jul. 2022. \[[<mark style="color:red;">source code</mark>](https://github.com/intLyc/CMTO-Benchmark)]


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