李丙栋

博士：中国科学技术大学计算机科学与技术学院

本科：中国科学技术大学计算机科学与技术学院

2026.03-今 华东师范大学上海智能教育研究院 副教授（准聘）

2025.04-2026.03 华东师范大学上海智能教育研究院 专任副研究员

2021.10-2025.03 华东师范大学计算机科学与技术学院 专任副研究员

2019.11-2021.9 美团 算法策略

2017.7-2019.11 腾讯 应用研究

李丙栋，华东师范大学专任副研究员。研究方向为计算智能、机器学习、智能教育。在 ACM CSUR、IEEE TEVC、AAAI、KDD 等SCI一区/CCF A类期刊、会议发表/录用论文十余篇。相关成果谷歌学术累计引用 1300 余次，入选 ESI 高被引论文 1 篇。获CCF A 类国际会议 NeurIPS 2024 大语言模型合并竞赛第 3 名 (3/150)、GECCO 2024 3D 智能体运动设计决策优化竞赛国际亚军。担任 IEEE TEVC、IEEE TETCI、Swarm and Evolutionary Computation 等期刊审稿人, 担任演化计算与优化 (ECOLE) 研讨会 2024 年组委会成员。指导的学生获“华为杯”第六届中国研究生人工智能创新大赛全国二等奖、国家奖学金、上海市优秀毕业生等奖项。

已毕业研究生（含联合指导）：

2024届硕士

• 张岩：非全硕士，SCI一区1篇，SCI二区1篇，上海市优秀毕业生，去向：创业（智能制造）

2025届硕士

• 陆泳帆：学硕，SCI一区2篇，CCF A 2篇，国家奖学金，上海市优秀毕业生，去向：字节跳动，广告算法工程师

• 杨艳婷：专硕，SCI一区3篇，去向：科大讯飞，大模型算法工程师

详见Google Scholar主页：Google Scholar Link

1. Bingdong Li, Jinlong Li*, Ke Tang, and Xin Yao. Many-objective evolutionary algorithms: A survey. ACM Computing Surveys (CSUR), IF 7.99, 48(1):13, 2015. (SCI一区, ESI高引用论文)

2. Bingdong Li, Ke Tang*, Jinlong Li, and Xin Yao. Stochastic ranking for many-objective optimization. Evolutionary Computation, IEEE Transactions on Evolutionary Computation (TEVC), IF 11.169, 2016. (SCI一区)

3. Bingdong Li, Jinlong Li, Ke Tang, and Xin Yao. An improved two archive algorithm for many-objective optimization. In Evolutionary Computation (CEC), 2014 IEEE Congress on, pages 2869--2876. IEEE, 2014.

4. Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, and Xin Yao. Search based recommender system using many-objective evolutionary algorithm. In Evolutionary Computation (CEC), 2016 IEEE Congress on. IEEE, 2016.

5. Hao Hao, Shuai Wang, Bingdong Li and Aimin Zhou*, A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/CEC55065.2022.9870436.

6. Shuai Wang, Aimin Zhou*, Bingdong Li, and Peng Yang, Differential evolution guided by approximated Pareto set for multiobjective optimization, Information Sciences, Volume 630, 2023, Pages 669-687, https://doi.org/10.1016/j.ins.2023.02.043   (SCI一区)

7. Shuai Wang, Bingdong Li, and Aimin Zhou*, A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization, Swarm and Evolutionary Computation, Volume 78, 2023, 101261,  https://doi.org/10.1016/j.swevo.2023.101261  (SCI一区)

8. Bingdong Li, Yan Zhang, Peng Yang, Xin Yao, and Aimin Zhou*, A Two-Population Algorithm for Large-Scale Multi-objective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection, IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2023.3296488 (SCI一区)

9. Yongfan Lu, Bingdong Li*, Hong Qian, Wenjing Hong, Peng Yang, and Aimin Zhou, RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. 2023: 722-730. (CCF-C)

10. Yongfan Lu, Bingdong Li*, Shengcai Liu, and Aimin Zhou, A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization, Swarm and Evolutionary Computation, Volume 83, 2023, 101377, ISSN 2210-6502. (SCI一区) 

11. Yan Zhang, Bingdong Li*, Wenjing Hong, and Aimin Zhou, MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies, Neurocomputing, 2023, 126892, ISSN 0925-2312. (SCI二区)

12. Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou, Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization, Swarm and Evolutionary Computation, Volume 86, 2024, 101506 (SCI一区)

13. Yongfan Lu, Bingdong Li*, and Aimin Zhou, Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization，Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(13): 14202-14210. (CCF-A)

14. Bingdong Li, Yanting Yang, Dacheng Liu, Yan Zhang, Aimin Zhou∗, Xin Yao, Accelerating Surrogate Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization via Explainable Machine Learning,2024, Swarm and Evolutionary Computation, accepted. (SCI一区)

15. Bingdong Li, Yanting Yang, Wenjing Hong, Peng Yang, and Aimin Zhou*, Hyperbolic Neural Network Based Preselection for Expensive Multi-Objective Optimization, 2024, IEEE Transactions on Evolutionary Computation, accepted. (SCI一区)

2024-12 NeurIPS 2024 LLM Merging Competition（大语言模型合并）国际竞赛第3名(3/150) 指导老师（1/3）

2024-09 第6届中国研究生人工智能创新大赛二等奖 指导老师（2/2）

2024-07 GECCO 2024 Automated Design Competition（3D智能体运动设计决策优化）国际竞赛第2名，指导老师（2/2）

2017-03 中国科学技术大学优秀毕业生

2016-08 中国科学院院长优秀奖