Faculty

Name：Jing Li

Title：Professor

Type of tutor：PhD, Master

Email：jing.li.2003@gmail.com

Adress：23-E514

https://scholar.google.com/citations?user=VmHLF3oAAAAJ&hl=zh-CN

• Video Tracking

• Scene Understanding

• Abnormal Behaviour Detection

• AI-based Assistive Diagnose of Brain Diseases (ASD and MDD)

• Research Grant from National Natural Science Foundation of China (NSFC, 62373280), Autism Spectrum Disorder Assessment and Intervention based on Fusion of Visual and EEG Information, Principal Investigator, CNY ¥500K, Jan 2024 - Dec 2027.

• Research Grant from National Natural Science Foundation of China (NSFC, 61963027), Identification and Understanding of Abnormal Behaviour in Multi-view Crowd Scenes based on Attention Mechanism, Principal Investigator, CNY ¥360K, Jan 2020 - Dec 2023.

• Research Grant from National Natural Science Foundation of China (NSFC, 61703198), Early Diagnosis and Treatment based on Behaviour Recognition and Intention Estimation, Principal Investigator, CNY ¥250K, Jan 2018 - Dec 2020.

• Research Grant from National Natural Science Foundation of China (NSFC, 61463032), Deep learning-based Feature Fusion in Scene Understanding for Robot Vision, Principal Investigator, CNY ¥440K, Jan 2015 - Dec 2018.

• Research Grant from Natural Science Foundation for Distinguished Young Scholars of Jiangxi Province (2018ACB21014), The Research of Key Technologies in a Vision-Assistant System for Early Diagnosis and Treatment of Autism Spectrum Disorder, CNY ¥200K, Jan 2018 - Dec 2020.

1. Yun Long, Shuang Yan, Ronghao Fu, Jianbin Zheng, Jing Li and Huiling Chen, “A Prior-Guided Neural Inversion Framework for Intelligent Source Separation of Hybrid Marine Vibrator Signals”, IEEE Transactions on Industrial Informatics, 2025.

2. Changchen Zhao, Pengcheng Cao, Meng Hu, Bin Huang, Huiling Chen, and Jing Li^#, “WTC3D: An Efficient Neural Network for Noncontact Pulse Acquisition in Internet of Medical Things,” IEEE Transactions on Industrial Informatics, vol. 21, no. 2, pp. 1547-1556, 2025.

3. Jing Li; Xiangwei Jia; Xinghan Chen; Gongfa Li; Gaoxiang Ouyang, LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 33, pp. 2456 - 2465, 2025.

4. Ronghao Fu, Shuang Yan, Chengcheng Chen, Xianchang Wang, Ali Asgher Heidari, Jing Li^#, and Huiling Chen, “S2O-Det: A Semisupervised Oriented Object Detection Network for Remote Sensing Images,” IEEE Transactions on Industrial Informatics, vol.20, no. 9, pp. 11285-11294, 2024.

5. Guanhe Huang, Jing Li^#*, Heli Lu, Ming Guo, and Shengyong Chen, “Rethinking Inconsistent Context and Imbalanced Regression in Depression Severity Prediction," IEEE Transactions on Affective Computing, vol. 15, no. 4, pp. 2154 - 2168, 2024.

6. Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li*, Shengyong Chen, Yingjun Du, Xiantong Zhen, and Honghai Liu, “Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder,” IEEE Transactions on Cybernetics, vol. 54, no. 4, pp. 2592-2605, 2024.

7. Jing Li, Zejin Chen, Yihao Zhong, Hak-Keung Lam, Junxia Han, Gaoxiang Ouyang*, Xiaoli Li, and Honghai Liu, “Appearance-based Gaze Estimation for ASD Diagnosis,” IEEE Transactions on Cybernetics, vol. 52, no. 7, pp. 6504 - 6517, 2022.

8. Jing Li, Qingwang Huang, Yingjun Du, Xiantong Zhen, Shengyong Chen, and Ling Shao, “Variational Abnormal Behavior Detection with Motion Consistency,” IEEE Transactions on Image Processing, vol. 31, pp. 275-286, 2022.

Undergraduate: Data Visualization Technology, Artificial Intelligence

Postgraduate: Computational Intelligence

Associate Editors in Chief of Optoelectronics Letters since Jun. 2022.

Associate Editor of IEEE Transactions on Human-Machine Systems

Associate Editor of IEEE Systems, Man, and Cybernetics Magazine