SCI期刊论文：

1.     Lie Yang, Haohan Yang, Bin-Bin Hu, Yan Wang, Chen Lv. “A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation”. IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 12, pp. 15092-15104, Dec. 2023, IF=7.9, 中科院一区，top期刊.

2.     Lie Yang, Haohan Yang, Henglai Wei, Zhongxu Hu and Chen Lv, "Video-Based Driver Drowsiness Detection with Optimised Utilization of Key Facial Features," in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, pp. 6938-6950, July 2024, IF=7.9, 中科院一区，top期刊.

3.     Lie Yang, Yong Tian, Yonghao Song, Nachuan Yang, Ke Ma, Longhan Xie, “A novel feature separation model exchange-GAN for facial expression recognition”, Knowledge-Based Systems, Vol 204, 2020.09, 106217, IF=7.2, 中科院一区，top期刊.

4.     Lie Yang, Yonghao Song, Ke Ma, Longhan Xie, “Motor Imagery EEG Decoding Method Based on a Discriminative Feature Learning Strategy”， IEEE Transactions on Neural System and Rehabilitation Engineering, Vol 29, 2021, IF=4.8, Page(368-379)，中科院二区. 

5.     Lie Yang, Yonghao Song, Ke Ma, Enze Su, Longhan Xie, “A Novel Motor Imagery EEG Decoding Method Based on Feature Separation”， Journal of Neural Engineering, 2021, Vol 18, 036022，IF=3.7，中科院二区.

6.     Lie Yang, Yonghao Song, Xueyu Jia, Ke Ma, and Longhan Xie, “Two-Branch 3D Convolutional Neural Network for Motor Imagery EEG decoding”， Journal of Neural Engineering, 2021, Vol 18, 0460c7， IF=3.7，中科院二区.

7.     Lie Yang, Guanghua Hu, Yonghao Song, Guofeng Li, Longhan Xie， “Intelligent video analysis: A Pedestrian trajectory extraction method for the whole indoor space without blind areas”, Computer Vision and Image Understanding, Vol196, 2020, 102968 , IF=4.3, 中科院三区.

8.     Ziyang Zhang, Lie Yang, Chen Lv. “Swin Transformer Based Driver Distraction Detection with High Discriminative Feature Learning”, Vehicles， 2024.

9.     Yonghao Song, Siqi Cai, Lie Yang, Guofeng Li, Weifeng Wu, Longhan Xie, “A Practical EEG-based Human-Machine Interface to Online Control an Upper-Limb Assist Robot”，Frontiers in Neurorobotics， 2020.07, Vol 14, IF=2.65， 中科院三区.

10.  Guo Yang, Yong Zhong, Lie Yang, Ruxu Du,“Fault Detection of Harmonic Drive Using Multiscale Convolutional Neural Network”，IEEE Transactions on Instrumentation and Measurement, 2020.09, Vol 70, 3502411, IF = 4.016, 中科院二区.

11.  Guo Yang, Yong Zhong, Lie Yang, Ruxu Du, “Fault Diagnosis of Harmonic Drive with Imbalanced Data Using Generative Adversarial Network”，IEEE Transactions on Instrumentation and Measurement, 2021.06, Vol 70, 3519911, IF = 4.016, 中科院二区.

12.  Yan Chen, Ke Ma, Lie Yang, Song Yu, Siqi Cai, “Trunk Compensation Electromyography Features Purification and classification model using Generative Adversarial Network”， Biomedical Signal Processing and Control，65(2021):102345，IF=3.88, 中科院二区.

13.  Xueyu Jia, Yonghao Song, Lie Yang, Longhan Xie, “Joint spatial and temporal features extraction for multi-classification of motor imagery EEG”. Biomedical Signal Processing and Control, 2022, 71: 103247，IF=3.88, 中科院二区.

14.  Xiao Wang, Jun Huang, Yonglin Tian, Chen Sun, Lie Yang, Shanhe Lou, Lv Chen, Changyin Sun, and Feiyue Wang. “Parallel Driving with Big Models and Foundation Intelligence in Cyber-Physical-Social Spaces”. Research，2024，IF=11，中科院一区，top期刊.

15.  Jingda Wu, Haohan Yang, Lie Yang, Yi Huang, Xiangkun He, and Chen Lv. “Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles”. IEEE Transactions on Systems, Man and Cybernetics: Systems，IF=8.7，中科院一区，top期刊.

16.  Yiran Zhang, Shanhe Lou, Peng Hang, Wenhui Huang, Lie, Yang, and Chen Lv. “Interactive Prediction and Decision-Making for Autonomous Vehicles: Online Active Learning with Traffic Entropy Minimization”, IEEE Transactions on Intelligent Transportation Systems, early access, doi: 10.1109/TITS.2024.3419003, IF=8.5, 中科院一区，top期刊.

17.  Yan Wang, Henglai Wei, Lie Yang, Bin-Bin Hu, Chen Lv, “A Review of Dynamic State Estimation for the Neighborhood System of Connected Vehicles”, SAE International Journal of Vehicle Dynamics, Stability, and NVH, 2023, 7(10-07-03-0023).

18.  Lie Yang, Henglai Wei, Zhongxu Hu and Chen Lv. “Domain Generalization Based on CLIP and Center Loss for Driver Distraction Detection”. Engineering Applications of Artificial Intelligence.   Under review.

19.  Lie Yang and Chen Lv. “Enhancing Task Incremental Continual Learning: Integrating Prompt-Based Feature Selection with Pre-trained Vision-Language Model”, Knowledge-Based Systems.  Under review.

20.  Jingyuan Li, Lie Yang, Chen Lv, Yuan Chu, and Yahui Liu. “GLF-STAF: A Global-local-facial Spatio-temporal Attention Fusion Approach for Driver Emotion”. IEEE Transactions on Intelligent Transportation Systems.   Under review.

21.  Haohan Yang, Yanxin Zhou, Jingda Wu, Haochen Liu, Lie Yang, and Chen Lv. “Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Driving”. IEEE Transactions on Intelligent Transportation Systems.   Under review.

EI会议论文：

1.      Guo Yang, Yong Zhong, Lie Yang, Jianying Li, Yuhao Liang, Ruxu Du. Anomaly detection of automobile welding workstation based on stacked autoencoders and long short-term memory network[C]//2021 China Automation Congress (CAC). IEEE, 2021: 1433-1437.

2.      Guo Yang, Yong Zhong, Lie Yang, Jianying Li, Yong Xu, Ruxu Du. An intelligent compound fault diagnosis method using convolutional neural network for harmonic drive[C]//2021 China Automation Congress (CAC). IEEE, 2021: 619-623.

3.      Ting Meng, Hao Chen, Runjia Tan, Lie Yang, Fengjiao Zhang, Yan Wang. AUKF-Based Collision Avoidance of Autonomous Vehicles Considering Measurement Noise Uncertainty[C]//2023 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2023: 395-399.