
毕业去向
教育经历
2017.09-2020.04 |
哈尔滨工程大学 |
电气工程 |
工学硕士 |
2020.09-2024.06 |
南开大学 |
人工智能 |
工学博士 |
研究兴趣
强化学习、多智能体博弈
论文专利
论文:
1.L. Li, W. Chen, C. Qian, H. Du, X. Zhang. SR-GRAT: Symmetric-Response Guided Reinforcement Learning With Adaptive Targeting for Agile Fixed-Wing UAV Control. IEEE Transactions on Cybernetics (T-CYBER), 2025, 56(7): 3689-3702.
2.L. Li, X. Zhang*, C. Qian, M. Zhao, R. Wang. Cross coordination of behavior clone and reinforcement learning for autonomous within-visual-range air combat. Neurocomputing, 2024, 584: 127591.
3.L. Li, X. Zhang*, C. Qian, R. Wang, M. Zhao. Autopilot controller of fixed-wing planes based on curriculum reinforcement learning scheduled by adaptive learning curve. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(3): 2182-2196.
4.L. Li, X. Zhang*, C. Qian, R. Wang. Basic flight maneuver generation of fixed-wing plane based on proximal policy optimization. Neural Computing and Applications, 2023, 35: 10239-10255.
5.L. Li, Y. Wang, C. Qian, M. Zhao. Reinforcement learning methods for fixed-wing aircraft control. International Conference on Systems and Informatics, 2023: 1-8.
6.C. Qian, X. Zhang*, L. Li, M. Zhao, Y. Fang. H3E: Learning air combat with a three-level hierarchical framework embedding expert knowledge. Expert Systems With Applications, 2024, 245: 123084.
7.H. Liu, L. Li, Y. Han, F. Lu. Method of identifying the lengths of equivalent clear-sky periods in the time series of DNI measurements based on generalized atmospheric turbidity. Renewable Energy, 2019, 136: 179-192.
奖励荣誉
1.2023,全国兵棋推演大赛智能空中博弈算法挑战赛,冠军、优秀算法奖。
2.2021,全国兵棋推演大赛,亚军。
3.2022,全国智能联合海上作战算法赛,二等奖、优秀算法奖。
4.2020.9-2024,南开大学校级公能奖学金,三次。
5.2018-2020,国家奖学金、哈尔滨工程大学校三好学生、哈尔滨工程大学校优秀毕业生。
联系方式
E-mail:1120200179@mail.nankai.edu.cn