I am a Full Professor with the School of Cyberspace Security, Hainan University. Before that, I was an Assistant Professor with the Department of Computer Science, Shantou University. I obtained my Ph.D. degree in the Department of Computer Science and Engineering, South China University of Technology (SCUT) in 2017, supervised by Prof. Guoqiang Han, and obtained my M. Eng. degree in the School of Information Science and Technology, Sun Yat-sen University (SYSU) in 2012 supervised by Prof. Xiaonan Luo, and obtained my B. Sc degree in School of Mathematical Sciences, South China Normal University (SCNU) in 2010.

My research interests cover traffic flow theory, driving behaviors, and medical information processing. Specifically, we focus on 1) spatiotemporal traffic flow forecasting; 2) neurodegenerative disease diagnosis by molecular imaging; 3) early diagnosis of Alzheimer's disease by driving behaviors. I am looking for self-motivated potential graduate students interested in machine learning and traffic data processing. Welcome to drop me an email with your CV. Remote collaboration is also welcome!

✓ Tel: (86) 754-8650-3948

✓ E-mail: zhouteng [AT] live.com

Selected publications
Tianhong Quan, Ye Yuan, Yu Luo, Youyi Song*, Teng Zhou*, Jiaqi Wang. From Regression to Classification: Fuzzy Multi-Kernel Subspace Learning for Robust Prediction and Drug Screening. IEEE Transactions on Industrial Informatics. 2023. http://doi.org/10.1109/TII.2023.3321332 [SCI Q1]
Jian Zhu, Ganxi Xu, Qintai Hu, Boyu Huang, Teng Zhou*, Jing Qin. Dual Contrastive Training and Transferability Aware Adaptation for Multi-Source Privacy-Preserving Motor Imagery Classification. IEEE Transactions on Instrumentation & Measurement. 2023. Accepted. [SCI Q1]
Weijian Xu, Jingjin Liu, Jingwen Yan, Juan Yang, Huifen Liu, Teng Zhou*. Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction. IEEE Internet of Things Journal. 2023. http://doi.org/10.1109/JIOT.2023.3317190 [SCI Q1]
Boyu Huang, Haowen Dou, Yu Luo, Junchao Li, Jiaqi Wang, Teng Zhou*. Adaptive Spatiotemporal Transformer Graph Network for Traffic Flow Forecasting by IoT Loop Detectors. IEEE Internet of Things Journal. 2022. https://doi.org/10.1109/JIOT.2022.3209523 [SCI Q1]
Ye Yuan#, Tianhong Quan#, Youyi Song*, Jitian Guan, Teng Zhou*, Renhua Wu. Noise-immune Extreme Ensemble Learning for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus. IEEE Journal of Biomedical and Health Informatics. 2022. https://doi.org/10.1109/JBHI.2022.3164937 [SCI Q1, TOP期刊]
Teng Zhou, Haowen Dou, Jie Tan, Youyi Song, Fei Wang, Jiaqi Wang*. Small dataset solves big problem: an outlier-insensitive binary classifier for inhibitory potency prediction. Knowledge-Based Systems. 2022. https://doi.org/10.1016/j.knosys.2022.109242 [SCI Q1, TOP期刊]
Yu Luo, Qingdong Huang, Jie Ling, Kailong Lin, Teng Zhou*, Local and Global Knowledge Distillation with Direction-enhanced Contrastive Learning for Single-image Deraining. Knowledge-based Systems. 2023. https://doi.org/10.1016/j.knosys.2023.110480 [SCI Q1, TOP期刊]
JiaxianZhu, WeihuaBai, JialingZhao, Liyun Zuo, Teng Zhou*, Keqin Li. Variational Mode Decomposition and Sample Entropy Optimization Based Transformer Framework for Cloud Resource Load Prediction. Knowledge-Based Systems. 2023. https://doi.org/10.1016/j.knosys.2023.111042 [SCI Q1, TOP期刊]
Dongbin Yin, Baizhong Zhang, Jingwen Yan*, Yu Luo, Teng Zhou*, Jing Qin. CoWNet: A correlation weighted network for geological hazard detection. Knowledge-Based Systems. 2023. https://doi.org/10.1016/j.knosys.2023.110684 [SCI Q1, TOP期刊]