Teng Zhou (周腾)

Biography

Dr. Teng Zhou is a Full Professor with the School of Cyberspace Security (School of Cryptology), Hainan University, as well as an Adjunct Professor with the Yangtze Delta Region Institute, University of Electronic Science and Technology of China. Before that, he was a Lecturer with the Department of Computer Science, Shantou University. He obtained his Ph.D. degree from the Department of Computer Science and Engineering, South China University of Technology (SCUT) in 2017, supervised by Prof. Guoqiang Han (韩国强), and obtained his M. Eng. degree from the School of Information Science and Technology, Sun Yat-sen University (SYSU) in 2012 supervised by Prof. Xiaonan Luo (罗笑南), and obtained his B. Sc degree from School of Mathematical Sciences, South China Normal University (SCNU) in 2010.

In the past three years, he has undertaken several projects, including the National Natural Science Foundation of China, Guangdong Provincial Natural Science Foundation, and the "13th Five-Year Plan" project of Guangdong Education Science, with a total funding of more than 2 million yuan. He has published about 100 academic publications, which have been cited over 1,900 times. His h-index is 24, and i10-index is 46. One paper has been selected as ESI hot paper, and five are highly cited papers. He also serves as the Youth Editor for Digital Transportation and Safety and Smart Construction and Sustainable Cities, and the special issue editor for the following journals, i.e. Mathematics, Algorithms, Big Data and Cognitive Computing, BioMedInformatics, and Information. During his doctoral period, he co-founded Guangdong Jaxus Information Technology Co., Ltd., which was later restructured into Guangdong Jiaqi Technology Education Co., Ltd., which is traded on the National Equities Exchange and Quotations with the stock code 834061.

His research interests cover traffic flow theory, driving behaviors, and medical information processing. Specifically, he focuses on 1) spatiotemporal traffic flow forecasting; 2) neurodegenerative disease diagnosis by molecular imaging; 3) early diagnosis of Alzheimer's disease by driving behaviors.

Affiliation

Teaching

Funding

  1. Metropolitan Road Networks Oriented Traffic Flow Forecasting by Spatiotemporal Context-aware Mechanism, Natural Science Foundation of China (NSFC), No. 61902232, PI, 240,000 RMB, 2020.01-2022.12

  2. Magnetic Resonance Imaging for Brain Metabolism and Lymphoid System Abnormalities in Alzheimer disease, Natural Science Foundation of China (NSFC), No. 82020108016, CoPI, 2,490,000 RMB, 2021.01-2025.12 【第一参与人,子课题负责人】

  3. Deep Learning based Multi-model Ensemble for Traffic Flow Forecasting, Natural Science Foundation of Guangdong Province, No. 2018A030313291, PI, 100,000 RMB, 2018.05-2021.04

  4. Traffic Dynamic in Metropolitan Regions embedded Road Network: A Machine Learning Framework for Traffic Flow Forecasting, Natural Science Foundation of Guangdong Province, No. 2022A1515011590, PI, 100,000 RMB, 2022.01-2024.12

  5. Flipped Test Driven Scheme for Outcome based Education, The Open Fund of State Key Laboratory of Public Big Data, No. 2018GXJK048, PI, 30,000 RMB, 2019.05-2021.04

  6. Metaverse Digital Twin Traffic Flow Forecasting, Educational Science Planning Project of Guangdong Province, PI, 100,000 RMB, 2023.01.10-2025.01.10

  7. Samples limited noise-immune learning-based framework for early diagnosis of Alzheimer disease, Li Ka Shing Foundation, No. 2020LKSFG05D, PI, 1,000,000 RMB, 2020.07-2022.06

Selected publications

  1. 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]

  2. Jian Zhu, Ganxi Xu, Qintai Hu, Boyu Wang, 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. http://doi.org/10.1109/TIM.2023.3341121 [SCI Q1]

  3. 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]

  4. 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]

  5. 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]

  6. 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. https://doi.org/10.1109/JIOT.2020.3015381 [SCI Q1]

  7. Bing Nan Li, Xinle Wang, Rong Wang, Teng Zhou, Rongke Gao, Edward J. Ciaccio, Peter H. Green. 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. https://doi.org/10.1109/TCBB.2019.2953701 [SCI Q1]

  8. 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]

  9. 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]

  10. 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]

  11. 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]

  12. Youyi Song, Ao Zhang, Jinglin Zhou, Yu Luo, Zhizhe Lin, Teng Zhou*. Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening. Artificial Intelligence in Medicine. 2024, 148: 102756. https://doi.org/10.1016/j.artmed.2023.102756 [SCI Q1]

  13. 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]

  14. 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. https://doi.org/10.1021/acsami.1c16530 [SCI Q1]

  15. Jitian Guan, Yan Ding, Yunjie Rong, Yiqun Geng, Lingfeng Lai, Dan Qi, Yanyan Tang, Lin Yang, Juntao Li, Teng Zhou, Erxi Wu, Renhua Wu*. Early Life Stress Increases Brain Glutamate and Induces Neurobehavioral Manifestations in Rats. ACS Chemical Neuroscience, 2020. https://doi.org/10.1021/acschemneuro.0c00454 [SCI Q1]

  16. 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. https://doi.org/10.1016/j.asoc.2022.109568 [SCI Q1]

  17. Keer Wu, Changhong Xu, Jingwen Yan, Fei Wang, Zhizhe Lin, and Teng Zhou*. Error-distribution-free kernel extreme learning machine for traffic flow forecasting. Engineering Applications of Artificial Intelligence 123 (2023): 106411. https://doi.org/10.1016/j.engappai.2023.106411 [SCI Q1, TOP期刊]

  18. 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. https://doi.org/10.1016/j.neucom.2020.11.026 [SCI Q1]

  19. Teng Zhou, Guoqiang Han, Xuemiao Xu, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin. delta-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing, Elsevier, 2017, 247(4): 31—38. https://doi.org/10.1016/j.neucom.2017.03.049 [SCI Q1]

  20. Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou*, Jing Qin. Dfree-LSTM: An Error Distribution Free Deep Learning for Short-term Traffic Flow Forecasting. Neurocomputing. 2022. https://doi.org/10.1016/j.neucom.2023.01.009 [SCI Q1, TOP期刊]

  21. Huaying Li, Shumin Yang, Yu Luo, Junchao Li, Youyi Song, and Teng Zhou*. Spatial Dynamic Graph Convolutional Network for Traffic Flow Forecasting. Applied Intelligence. 2022. https://doi.org/10.1007/s10489-022-04271-z [SCI Q1]

  22. Guanru Tan#, Teng Zhou#*, Boyu Huang, Haowen Dou, Youyi Song, Zhizhe Lin*. A Noise-immune and Attention-based Multi-modal Framework for Short-term Traffic Flow Forecasting. Soft Computing. 2023. https://doi.org/10.1007/s00500-023-09173-x [SCI Q2]

  23. Teng Zhou, Guoqiang Han, Bing Nan Li, Zhizhe Lin, Edward J Ciaccio, Peter H Green, Jing Qin. 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. https://doi.org/10.1016/j.compbiomed.2017.03.031 [SCI Q1]

  24. 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. https://doi.org/10.1016/j.cmpb.2022.106633 [SCI Q1]

  25. Fei Wang, 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. https://doi.org/10.1016/j.cmpb.2021.106173 [SCI Q1]

  26. 周境林, 周腾. 试论人工智能道德增强的三种方案, 东北大学学报(社会科学版), 2024 [C刊,已接收,待刊]

  27. Jinming Qiu#, Guanru Tan#, Yan Lin, Jitian Guan, Zhuozhi Dai, Fei Wang, Caiyu Zhuang, Alan H Wilman, Huaidong Huang, Zhen Cao, Yanyan Tang, Yanlong Jia, Yan Li, Teng Zhou*, Renhua Wu*. Automated Detection of Intracranial Artery Stenosis and Occlusion in Magnetic Resonance Angiography: A Preliminary Study Based on Deep Learning. Magnetic Resonance Imaging. 2022. https://doi.org/10.1016/j.mri.2022.09.006 [SCI Q3,医学影像学T2级]

  28. Lingru Cai, Mingqin Lei, Shuangyi Zhang, Yidan Yu, Teng Zhou*, Jing Qin. A noise-immune LSTM network for short-term traffic flow forecasting. Chaos, 2020, 30(2): 023135. https://doi.org/10.1063/1.5120502 [SCI Q1]

  29. Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou*, Jing Qin*. Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting. IET Software. 2023. https://doi.org/10.1049/sfw2.12139 [CCF B类期刊]

  30. Teng Zhou, Guoqiang Han, Xuemiao Xu, Chu Han, Yuchang Huang, Jing Qin. A learning-based multimodel integrated framework for Dynamic traffic flow forecasting. Neural Processing Letters. 2019, 43(1): 407—430 https://doi.org/10.1007/s11063-018-9804-x [SCI Q1]

  31. 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]

  32. Weihong Cai, Ding Yu, Ziyu Wu, Xin Du, Teng Zhou*. 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]

  33. Lingru Cai, Zhanchang Zhang, Junjie Yang, Yidan Yu, Teng Zhou*, Jing Qin. 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]

  34. 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). https://doi.org/10.1049/itr2.12127 [SCI Q2]

  35. Lingru Cai, Qian Chen, Weihong Cai, Xuemiao Xu, Teng Zhou*, 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]

  36. Teng Zhou*, Dazhi Jiang, Zhizhe Lin, Guoqiang Han, Xuemiao Xu, Jing Qin. Hybrid dual Kalman filtering model for short-term traffic flow forecasting. IET Intelligent Transport Systems, 2019, 13(6), 1023—1032. https://doi.org/10.1049/iet-its.2018.5385 [SCI Q2]

  37. Kai Li, Weihua Bai*, Shaowei Huang*, Guanru Tan, Teng Zhou*, Keqin Li. Lag-related noise shrinkage stacked LSTM network for short-term traffic flow forecasting. IET Intelligent Transport Systems, https://doi.org/ 10.1049/itr2.12448 [SCI Q2]

  38. 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]

  39. Wenguang Chai#, Liangguang Zhang#, Zhizhe Lin#, Jinglin Zhou*, Teng Zhou. GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting. Mathematics. 2024. http://doi.org/10.3390/math12010103 [SCI Q1]

  40. 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. https://doi.org/10.3390/math10122087 [SCI Q1]

  41. Wenguang Chai, Yuexin Zheng, Lin Tian, Jing Qin*, Teng Zhou*. GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting. Mathematics. 2023. http://doi.org/10.3390/math11163574 [SCI Q1]

  42. 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 [2022年11月入选ESI高被引文章,SCI Q1]

  43. Weihong Cai, Junjie Yang, Yidan Yu, Youyi Song, Teng Zhou*, Jing Qin. PSO-ELM: A Hybrid Learning Model for Short-term Traffic Flow Forecasting. IEEE Access, IEEE, 2020: 1-10. https://doi.org/10.1109/ACCESS.2019.2963784 [2020年两次进入ESI高被引]

  44. Dazhi Jiang, Kaichao Wu, Dicheng Chen, Geng Tu, Teng Zhou, Akhil Garg, Liang Gao. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems. Measurement, 2020, 150, 207049. https://doi.org/10.1016/j.measurement.2019.107049 [2020年入选ESI热点文章、ESI高被引文章]

  45. 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) https://doi.org/10.1109/ICME51207.2021.9428454 [仅次于ECCV的B类会议,口头报告,15%录取率]

  46. 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) https://doi.org/10.1109/ICME52920.2022.9859958 [仅次于ECCV的B类会议]

  47. Shuangyi Zhang, Youyi Song, Dazhi Jiang, Teng Zhou*, Jing Qin. Noise-identified Kalman filter for short-term traffic flow forecasting. The 15th International Conference on Mobile Ad-hoc and Sensor Networks, Hong Kong. https://doi.org/10.1109/MSN48538.2019.00093 [CCF C类会议]

  48. Guanru Tan, Shiqiang Zheng, Boyu Huang, Zhihan Cui, Hanwen Dou, Xi Yang*, 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. http://doi.org/10.1007/978-3-030-95388-1_4 [CCF C类会议]

  49. 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. https://doi.org/10.3390/electronics9091474 [SCI Q3]

  50. 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]

  51. Tianhong Quan, Ye Yuan, Yu Luo, Teng Zhou*, Jing Qin. Fuzzy Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) [医学图像AI顶会]

  52. Tianhong Quan, Ye Yuan, Youyi Song, Teng Zhou*, Jing Qin. Fuzzy Structural Broad Learning for Breast Cancer Classification. IEEE International Symposium on Biomedical Imaging (ISBI 2022), IEEE, 2022: 1-4. https://doi.org/10.1109/ISBI52829.2022.9761496 [医学图像AI顶会]

  53. Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin. 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. https://doi.org/10.1007/978-3-030-59719-1_18 [医学图像AI顶会]

  54. Youyi Song*, Teng Zhou, Jeremy Yuen-Chun Teoh, Jing Zhang, Jing Qin. Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru. https://doi.org/10.1007/978-3-030-59719-1_31 [医学图像AI顶会]

  55. Youyi Song*, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin. 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. https://doi.org/10.1109/ISBI45749.2020.9098488 [医学图像AI顶会]

  56. 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. [SCI Q2]

  57. Yan Li, Zuhao Ge, Zhiyan Zhang, Zhiwei Shen, Yukai Wang, Teng Zhou*, Renhua Wu*. Broad learning enhanced 1H-MRS for early diagnosis of neuropsychiatric systemic lupus erythematosus. Computational and Mathematical Methods in Medicine, 2020. https://doi.org/10.1155/2020/8874521 [SCI Q3]

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

  59. Changli Li*, Shiqiang Tang, Jingwen Yan, Teng Zhou. Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion. Symmetry, 2020. https://doi.org/

  60. 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). https://doi.org/10.1166/jmihi.2021.3378

  61. Shiqiang Zheng, 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). https://doi.org/10.1155/2021/5582974

  62. 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. https://doi.org/10.1109/ACCESS.2021.3051079 [SSCI收录]

Patents (in Chinese)

  1. 周腾; 李桦樱; 杨舒敏;一种使用空间动态图卷积网络进行交通流预测方法, 2022-05-18, 中国, ZL202210559673.5. [已授权]

  2. 周腾; 张展昌; 蔡玲如; 一种基于最大协同熵卡尔曼滤波方法, 2019-04-02, 中国, ZL201910259574.3. [已授权]

  3. 周腾; 郑仕强; 梁倚蔚; 一种基于非线性自适应系统的短期交通流预测方法, 2021-09-16, 中国, ZL202111089826.6 [已授权]

  4. 周腾; 张塽旖; 蔡伟鸿; 一种短期交通流的预测方法及装置, 2020-01-16, 中国, ZL202010045992.5. [已授权]

  5. 周腾; 李泽权; 杨丽莎; 一种用于动态交通状况下的自适应学习交通流预测的方法, 2023-09-08, 中国, CN202310562260.7

  6. 周腾; 杨丽莎; 李泽权; 一种基于小样本的药物抑制能力预测方法, 2023-08-18, 中国, CN202310621659.8

  7. 周腾; 杨舒敏; 李桦樱; 基于新深空时自适应融合图网络的短期交通流预测方法, 2022-05-18, 中国, CN202210532872.7.

  8. 杨曦; 周腾; 一种基于集成学习算法的预测交通流量方法, 2019-12-20, 中国, CN201911321495.7.

  9. 杨曦; 周腾; 董振杰; 一种智能医疗系统位置隐私保护机制, 2019-12-01, 中国, CN201911321498.8.

  10. 周腾; 窦浩文; 林建和; 一种基于小数据集的药物抑制效力强度预测方法, 2022-02-14, 中国, CN202210133056.9.

Supervised Graduated Students (in Chinese)

  1. 张塽旖,发表SCI论文3篇,中文核心1篇,获得发明专利1项,已毕业,深圳市腾讯计算机系统有限公司工作

  2. 郑仕强,发表SCI论文4篇,获得发明专利1项,已毕业,深圳大学博士研究生在读

  3. 谭冠儒,发表SCI论文3篇,已毕业,湖南大学博士研究生在读

  4. 窦浩文,发表SCI论文3篇,中科院一区2篇,申请发明专利1项,已毕业,西安交通大学博士研究生在读

  5. 全天鸿,发表SCI论文3篇,中科院一区2篇,MICCAI一篇,已毕业,北京理工大学博士研究生在读

  6. 崔植涵,发表SCI论文4篇,已毕业,贵州省公路局大数据服务中心

  7. 黄博宇,发表SCI论文6篇,中科院一区2篇,已毕业,南昌市城市管理局

Supervised Undergraduate Students (in Chinese)

  1. 葛祖浩,发表SCI论文3篇,ICME口头报告1篇,广东省挑战杯二等奖,已毕业,保送复旦大学硕士研究生

  2. 鲁华康,发表SCI论文3篇,广东省挑战杯二等奖,已毕业,保送华东师范大学硕士研究生

  3. 杨舒敏,发表SCI论文3篇,一作论文入选ESI高被引论文,广东省挑战杯一等奖,已毕业,保送厦门大学硕士研究生

  4. 李桦樱,发表SCI论文3篇,广东省挑战杯一等奖,已毕业,保送厦门大学硕士研究生

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