[1] Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang. Multi-actor mechanism for actor-critic reinforcement learning. Information Sciences, 2023, 647: 119494.

[2] Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang. Set-membership Belief State-based Reinforcement Learning for POMDPs. ICML 2023.

[3] Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei. Multiple metric learning via local metric fusion. Information Sciences, 2023, 621: 341-353.

[4] 李琳, 李玉泽, 张钰嘉, 魏巍. 基于多估计器平均值的深度确定性策略梯度算法. 郑州大学学报(工学版), 2022, 43(02): 15-21.

[5] Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang. Hierarchical metric learning with intra-level and inter-level regularization, International Journal of Machine Learning and Cybernetics, 2022, 13(12): 4033-4042.

[6] Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li. Controlling underestimation bias inreinforcement learning via quasi-median operation, AAAI2022, Vancouver Canada.

[7] Lin Li, Wenjian Wang, Zhenhai Gao. Driver's social relationship based clustering and transmission in vehicle ad hoc networks (VANETs), Electronics, 2020, 9(2): 298.

[8] Lin Li, Yanheng Liu, Jian Wang, Tao Wu, Peng Zhou. Partially observed cross-layer optimization for vehicular communications, International Journal of Communication Systems, 2018,31(1): e3398.

[9] Jian Wang, Fangqi Liu, Yanheng Liu, Weiwen Deng, Lin Li. Distance-driven consensus quantification, IEEE Transactions on Intelligent Transportation Systems, 2017, 19(5): 1471-1484.

[10] Lin Li, Yanheng Liu, Jian Wang, Weiwen Deng, Oh, Heekuck. Vehicle mobility driven by traditional drivers versus connected drivers, Wireless Networks, 2016, 22(6): 1891-1900.

[11] Lin Li, Yanheng Liu, Jian Wang, Weiwen Deng, Oh, Heekuck. Human dynamics-based driver model for autonomous car, Iet Intelligent Transport Systems, 2016, 10(8): 545-554.

[1] 李琳, 王文剑. 一种无人车的拟人驾驶员控制模型的建立方法和系统, 2020-5-26, 中国, ZL2018106 05152.2 (发明专利).

[2] 李琳, 李涛, 魏巍, 崔军彪. 一种融合多个源域的跨域行人重识别方法及系统, 2020-12-2, 中国, ZL202011399651.4 (发明专利).

[3] 李琳, 吴宏涛, 冯凯. 一种方程式赛车调节水平台, 2020-5-26, 中国, ZL201921962539.X (实用新型专利).

[4] 魏巍, 王达, 李琳, 梁吉业. 一种基于深度强化学习的机械臂控制方法及系统, 2021-12-06, 中国, ZL202111475392.3 (发明专利).

[1] 国家自然科学基金委员会,联合基金项目, U21A20513, 低质数据提升理论与方法研究, 2022-01-01至 2025-12-31, 260万元, 在研, 参与

[2] 科技部, 重点研发计划项目, 2019YFE0118200, 基于自组网无人机群的污染气体激光监测平台, 2020-12 至今, 415万元, 在研, 参与

[3] 山西省自然科学基金面上项目，202203021211294，面向深度强化学习的值函数估计方法研究, 2023.01－2025.12, 10万，在研，主持

[4] 山西省自然科学基金青年基金, 201801D221165, 智能交通系统中行为动力学研究, 2018.12-2020.12, 3万，已结题，主持