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] stu.edu.cn

Publications

[1]     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. doi: 10.1016/j.knosys.2022.109242. [SCI Q1, TOP期刊]

[2]     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. DOI: 10.1109/JBHI.2022.3164937 [SCI Q1, TOP期刊]

[3]     Huaidong Huang#, Shiqiang Zheng#, Zhongxian Yang, Yi Wu, Yan Li, Jinming Qiu, Yan Cheng, Panpan Lin, Yan Lin, Jitian Guan, David John Mikulis, Teng Zhou* and Renhua Wu*. Voxel-Based Morphometry and a Deep Learning Model for the Diagnosis of Early Alzheimer’s Disease Based on Cerebral Grey Matter Changes. Cerebral Cortex. 2022. bhac099, https://doi.org/10.1093/cercor/bhac099 [SCI Q1, 神经科学权威期刊]

[4]     Huakang Lu, Zuhao Ge, Youyi Song, Dazhi Jiang, Teng Zhou*, Jing Qin. A Temporal-aware LSTM Enhanced by Loss-switch Mechanism for Traffic Flow Forecasting. Neurocomputing, Elsevier, 2021, 427: 169—178 [SCI Q1]

[5]     Zhou, Teng, Han, Guoqiang, Xu, Xuemiao, Lin, Zhizhe, Han, Chu, Huang, Yuchang, Qin, Jing. delta-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing, Elsevier, 2017, 247(4): 31—38 [SCI Q1]

[6]     Zhou, Teng, Han, Guoqiang, Li, Bing Nan, Lin, Zhizhe, Ciaccio, Edward J, Green, Peter H, Qin, Jing. Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method. Computers in Biology and Medicine, 2017, 85(2): 1—6 [SCI Q1]

[7]     Haowen Dou#, Jie Tan#, Huiling Wei, Fei Wang, Jinzhu Yang, X.-G. Ma, Jiaqi Wang*, Teng Zhou*. Transfer inhibitory potency prediction to binary classification: A model only needs a small training set. Computer Methods and Programs in Biomedicine (2022). [SCI Q1]

[8]     Boyu Huang, Guanru Tan, Haowen Dou, Zhihan Cui, Youyi Song∗, Teng Zhou*. Mutual Gain Adaptive Network for Segmenting Brain Stroke Lesions. Applied Soft Computing. 2022 [SCI Q1]

[9]     Cai, Lingru, Lei, Mingqin, Zhang, Shuangyi, Yu, Yidan, Zhou, Teng*, Qin, Jing. A noise-immune LSTM network for short-term traffic flow forecasting. Chaos, AIP Publishing, 2020, 30(2): 023135 [SCI Q1]

[10]  Zhou, Teng, Han, Guoqiang, Xu, Xuemiao, Han, Chu, Huang, Yuchang, Qin, Jing. A learning-based multimodel integrated framework for Dynamic traffic flow forecasting. Neural Processing Letters, Springer US, 2019, 43(1): 407—430 [SCI Q1]

[11]  Shumin Yang, Huaying Li, Yu Luo, Junchao Li, Youyi Song, and Teng Zhou*. Spatiotemporal Adaptive Fusion Graph Network for Short-Term Traffic Flow Forecasting Mathematics 2022; 10(9): 1594. https://doi.org/10.3390/math10091594 [SCI Q1]

[12]  Shumin Yang, Huaying Li, Zhizhe Lin, Youyi Song, Cheng Lin*, and Teng Zhou*. Quantitative Analysis of Anesthesia Recovery Time by Machine Learning Prediction Models. Mathematics. 2022; 10(15):2772. https://doi.org/10.3390/math10152772 [SCI Q1]

[13]  Zhihan Cui, Boyu Huang, Haowen Dou, Yan Cheng, Jitian Guan, Teng Zhou*.  A Two-Stage Hybrid Extreme Learning Model for Short-term Traffic Flow Forecasting. Mathematics. 2022. Accepted [SCI Q1]

[14]  Weiwei Fang, Wenhao Zhuo, Jingwen Yan, Dazhi Jiang, Youyi Song, Teng Zhou*. Attention meets long short-term memory: A deep learning network for traffic flow forecasting, Physica A: Statistical Mechanics and its Applications 2022, 587, 126485, doi: https://doi.org/10.1016/j.physa.2021.126485. [SCI Q2]

[15]  Cai, Weihong, Yu, Ding, Wu, Ziyu, Du, Xin, Zhou, Teng*. A hybrid ensemble learning framework for basketball outcomes prediction. Physica A: Statistical Mechanics and its Applications, 2019, 528: 121461 https://doi.org/10.1016/j.physa.2019.121461 [SCI Q2]

[16]  Cai, Lingru, Zhang, Zhanchang, Yang, Junjie, Yu, Yidan, Zhou, Teng*, Qin, Jing. A noise-immune Kalman filter for short-term traffic flow forecasting. Physica A: Statistical Mechanics and its Applications, 2019, 536: 122601 https://doi.org/10.1016/j.physa.2019.122601 [SCI Q2]

[17]  Zhihan Cui, Boyu Huang, Haowen Dou, Guanru Tan, Shiqiang Zheng, Teng Zhou*, GSA-ELM: A hybrid learning model for short-term traffic flow forecasting, IET Intelligent Transport Systems (2021). doi:10.1049/itr2. 12127. [SCI Q2]

[18]  Cai, Lingru, Chen, Qian, Cai, Weihong, Xu, Xuemiao, Zhou, Teng*, Qin, Jing. SVRGSA: a hybrid learning based model for short-term traffic flow forecasting. IET Intelligent Transport Systems, https://doi.org/10.1049/iet-its.2018.5315 [SCI Q2]

[19]  Zhou, Teng*, Jiang, Dazhi, Lin, Zhizhe, Han, Guoqiang, Xu, Xuemiao, Qin, Jing. Hybrid dual Kalman filtering model for short-term traffic flow forecasting. IET Intelligent Transport Systems, 2019, 13(6), 1023—1032. [SCI Q2]

[20]  Huakang Lu, Dongmin Huang, Youyi Song, Dazhi Jiang, Teng Zhou*, Jing Qin. ST-TrafficNet: A spatial-temporal deep learning network for traffic forecasting. Electronics, 2020 [SCI Q3]

[21]  Cai, Weihong, Yang, Junjie, Yu, Yidan, Song, Youyi, Zhou, Teng*, Qin, Jing. PSO-ELM: A Hybrid Learning Model for Short-term Traffic Flow Forecasting. IEEE Access, IEEE, 2020: 1-10 [2020年两次进入ESI高被引]

[22]  Jiang, Dazhi, Wu, Kaichao, Chen, Dicheng, Tu, Geng, Zhou, Teng, Garg, Akhil, Gao, Liang. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems. Measurement, 2020, 150, 207049 [2020年入选ESI热点文章]

[23]  Zuhao Ge, Yuhui Li, Cheng Liang, Youyi Song, Teng Zhou*, Jing Qin. ACSNet: Adaptive Cross-scale Network with Feature Maps Refusion for Vehicle Density Detection. IEEE International Conference on Multimedia and Expo (ICME 2021) [仅次于ECCV的B类会议，口头报告，15%录取率]

[24]  Wei Wang, Yu Luo, Jie Ling, Youyi Song, Teng Zhou*. C3Net: a cross-channel cross-scale and cross-stage network for single image super-resolution. IEEE International Conference on Multimedia and Expo (ICME 2022) [仅次于ECCV的B类会议]

[25]  Zhang, Shuangyi, Song, Youyi, Jiang, Dazhi, Zhou, Teng*, Qin, Jing. Noise-identified Kalman filter for short-term traffic flow forecasting. The 15th International Conference on Mobile Ad-hoc and Sensor Networks, Hong Kong [CCF C类会议]

[26]  Tan, Guanru, Zheng, Shiqiang, Huang, Boyu, Cui, Zhihan, Dou, Hanwen, Yang, Xi*, Zhou, Teng. Hybrid GA-SVR: An Effective Way to Predict Short-term Traffic Flow 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2021), 2021 [CCF C类会议]

[27]  Dazhi Jiang*, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou. A Hybrid Intelligent Model for Acute Hypotensive Episode Prediction with Large-scale Data. Information Sciences, 2021, 546, 787-802 [SCI Q1]

[28]  Quan, Tianhong, Yuan, Ye, Song, Youyi, Zhou, Teng*, Qin, Jing. Fuzzy Structural Broad Learning for Breast Cancer Classification. IEEE International Symposium on Biomedical Imaging (ISBI 2022), IEEE, 2022: 1-4[医学图像AI顶会]

[29]  Song, Youyi, Yu, Zhen, Zhou, Teng, Teoh, Jeremy Yuen-Chun, Lei, Baiying, Choi, Kup-Sze, Qin, Jing. Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru [医学图像AI顶会]

[30]  Song, Youyi, Zhou, Teng, Teoh, Jeremy Yuen-Chun, Zhang, Jing, Qin, Jing. Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru [医学图像AI顶会]

[31]  Song, Youyi*, Yu, Zhen, Zhou, Teng, Teoh, Jeremy Yuen-Chun, Lei, Baiying, Kup-Sze, Choi, Qin, Jing. CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. IEEE International Symposium on Biomedical Imaging (ISBI 2020), IEEE, 2020: 1-4[医学图像AI顶会]

[32]  Li, BNN, Wang, X, Wang, R, Zhou, T, Gao, R*, Ciaccio, EJ, Green, PH. Celiac Disease Detection from Videocapsule Endoscopy Images Using Strip Principal Component Analysis. IEEE/ACM transactions on computational biology and bioinformatics, 2021, 18(4), 1396-1404 [SCI Q1]

[33]  Guorong Xiao, Geng Tu, Lin Zheng, Teng Zhou, Xin Li, Syed Hassan Ahmed, Dazhi Jiang. Multi-modality Sentiment Analysis in Social Internet of Things based on Hierarchical Attentions and CSATTCN with MBM Network. IEEE Internet of Things Journal [SCI Q1]

[34]  Wang, Fei, Songhua Xu, Dazhi Jiang, Baoquan Zhao, Xiaoqiang Dong, Teng Zhou, and Xiaonan Luo. Particle hydrodynamic simulation of thrombus formation using velocity decay factor. Computer Methods and Programs in Biomedicine 207 (2021): 106173. [SCI Q1]

[35]  Zhili Lu, Qiaoxian Zhong, Jingxian Li, Bingjie Zhou, Yan-Ni Xing, Kaien Liu, Kexin Cao, Dongming Lan, Teng Zhou, Yonghua Wang*, Jiaqi Wang*. Glycine substitution of residues with unfavored dihedral angles improves protein thermostability. Catalysts. 2022. Accepted. [SCI Q2]

[36]  Li, Yan, Ge, Zuhao, Zhiyan, Zhang, Shen, Zhiwei, Wang, Yukai, Zhou, Teng*, Wu, Renhua*. Broad learning enhanced 1H-MRS for early diagnosis of neuropsychiatric systemic lupus erythematosus. Computational and Mathematical Methods in Medicine, 2020 [SCI Q3]

[37]  Tan, Guanru, Huang, Boyu, Cui, Zhihan, Dou, Hanwen, and Zheng, Shiqiang, Zhou, Teng*. An Effective Method for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus Based on Reinforcement Learning. Mathematical Biosciences and Engineering, AIMS, LLC , 2022 [SCI Q3]

[38]  Yan Cheng, Airong Cheng, Yanlong Jia, Lin Yang, Yan Ning, Liang Xu, Yazhi Zhong, Zerui Zhuang, Jitian Guan, Xiaolei Zhang, Yan Lin, Teng Zhou, Xiusong Fan, Jianwu Li, Peng Liu*, Gen Yan*, Renhua Wu*. pH-Responsive Multifunctional Theranostic Rapamycin-Loaded Nanoparticles for Imaging and Treatment of Acute Ischemic Stroke. ACS Applied Materials & Interfaces. 2021

[39]  Guan, Jitian, Ding, Yan, Rong, Yunjie, Geng, Yiqun, Lai, Lingfeng, Qi, Dan, Tang, Yanyan, Yang, Lin, Li, Juntao, Zhou, Teng, Wu, Erxi, Wu, Renhua*. Early Life Stress Increases Brain Glutamate and Induces Neurobehavioral Manifestations in Rats. ACS Chemical Neuroscience, 2020

[40]  Changli Li*, Shiqiang Tang, Jingwen Yan, Teng Zhou. Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion. Symmetry, 2020

[41]  Xin Li, Lu Bai, Zuhao Ge, Zhizhe Lin, Xi Yang*, Teng Zhou*. Early diagnosis of neuropsychiatric systemic lupus erythematosus by deep learning enhanced magnetic resonance spectroscopy. Journal of Medical Imaging and Health Informatics, 11(5)

[42]  Zheng, Shiqiang, Shuangyi Zhang, Youyi Song, Zhizhe Lin, Dazhi Jiang, and Teng Zhou*. A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting. Complexity 2021 (2021).

[43]  Weiwei Fang, Xin Li*, Ping Zhou, Jingwen Yan, Dazhi Jiang, Teng Zhou*. Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going. IEEE Access, 2021, 9: 9777-9784 [SSCI收录]