1、Qin Li, Yong Wang, Fanbing Lv. Semantic correlation attention-based multiorder multiscale feature fusion network for human motion prediction[J]. IEEE Transactions on Cybernetics, 2024, 54(2): 825-838.

2、Yong Wang, Taolue Xue, Qin Li. A robust image-sequence-based framework for visual place[J]. IEEE Transactions on Cybernetics, 2020, 52(1): 152-163.

3、Qin Li, Yong Wang. Self-supervised pretraining based on noise-free motion reconstruction and semantic-aware contrastive learning for human motion prediction[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(1): 738-751.

4、Qin Li, Yong Wang. A novel teacher-assistance-based method to detect and handle bad training demonstrations in learning from demonstration[J]. IEEE Transactions on Cognitive and Developmental Systems, 2021, 14(3): 948-956.

5、Qin Li, Chalvatzaki G, Peters J, et al. Directed acyclic graph neural network for human motion prediction[C]//2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 3197-3204.

授权专利：

1、李沁, 胡春华, 张军号, 郭潞, 肖培, 胡雨轩. 一种人机共融风险的预测方法、装置、终端设备及介质, 2024.05, 中国, ZL 202310698021.4

2、谢斌, 李沁. 一种通过单幅图像估计能见度的方法, 2020.03, 中国, ZL 201710540165.1

3、张军号, 徐雪松, 姜林, 李沁, 彭晗, 刘金金. 基于联邦学习的电动汽车动态充电控制方法及系统, 2023.07, 中国, ZL 202310589331.2

4、张军号, 徐雪松, 刘利枚, 张新玉, 李沁, 彭晗, 高友丽, 陈欢. 基于车辆轨迹分析的道路车流量预测方法及装置, 2023.06, 中国, ZL 202310404703.X