周腾博士，beat365正版唯一官网必一教授（高聘）、博士生导师，海南省拔尖人才。研究方向为交通数据可信接入、受控共享与安全利用，近五年主持2项国家自然科学基金、4项省自然科学基金、1项省教改重点项目，1项省哲学与社会科学规划项目，及1项省教育科学“十三五”规划项目。在IEEE TII、IEEE TNNLS、IEEE TETC、IEEE TASE、IEEE TIM、IEEE TCE、IEEE TCBB、IEEE JBHI、IEEE IoTJ、MICCAI等期刊和会议上发表学术论文100多篇（中科院一区、TOP 期刊31篇），他引3300多次，h-index为33，曾入选ESI热点文章1篇，高被引文章11篇，三分之一的ESI论文位列学科领域百分位前5%，他引论文来自Nature子刊等国际顶级期刊/会议，他引作者来自中国科学院等近10位各国院士及20余位IEEE会士；已授权发明专利10余项；担任国家自然科学基金函评专家，广东省自然科学基金函评专家，新工科教育专业指导委员会委员、广东省生物医学工程学会医学信息工程分会委员，担任Computers编委，Journal of Intelligent and Connected Vehicles、Digital Transportation and Safety和Smart Construction and Sustainable Cities创刊青年编委，担任IEEE智能交通协会Emerging Transportation Technology Testing (ET3)技术委员会委员，以及Mathematics、Algorithms、Big Data and Cognitive Computing、BioMedInformatics、Information、Life等期刊特辑编委。
欢迎硕士研究生、科研热情的本科生加盟到我的课题组，本课题组的大部分硕士生申请到国内外顶尖高校攻读博士学位，大部分本科生也能保研国内985高校或者进入顶尖企业工作，具体见本页最后。
有意向加入课题组的同学请加我的微信：+1-(360)-453-7833或发送Email到我的邮箱teng.zhou@hainanu.edu.cn。
个人主页：http://zhouteng.net
工作经历
[1] beat365正版唯一官网必一 - 教授、博士生导师 2023年8月至今
[2] 汕头大学计算机系 - 讲师 2017年11月至2023年7月
科研项目
[1] 面向数据不足地区交通流预测的可迁移持续学习与物理约束关键技术研究
国家自然科学基金，No. 62462021，经费：32万，主持，2025.01-2028.12
[2] 面向城市道路环境时空上下文感知的交通流预测研究
国家自然科学基金，No. 61902232，经费：24万，主持，2020.01-2022.12
[3] 基于磁共振分子影像探索阿尔茨海默病脑代谢和类淋巴系统异常
国家自然科学基金，No. 82020108016，经费：249万，子课题负责人(2/10)，2021.01-2025.12
[4] 基于动力学特征城市功能分区与路网融合的交通流预测研究
广东省自然科学基金，No. 2022A1515011590，经费：10万，主持，2022.01-2024.12
[5] 基于深度学习多模型集成的交通流量预测算法研究与应用
广东省自然科学基金，No. 2018A030313291，经费：10万，主持，2018.05-2021.04
[6] 交通流预测算法研究
海南省自然科学基金，No. 625RC716，经费：10万，主持，2025.01-2027.12
[7] 面向自治区鲁棒交通流预测关键技术研究
广西自然科学基金，No. 2026GXNSFAA00641306，经费：10万，主持，2026.04-2029.03
[8] 浙江省高速公路低温雨雪冰冻灾害下交通韧性预测与提升策略研究
浙江省哲学社会科学规划课题，No. 25JCXK006YB，经费：3万，主持，2025.01-2027.12
[9] 面向有限训练样本磁共振早期诊断阿尔茨海默病的噪声免疫学习框架
李嘉诚基金会交叉研究项目，No. 2020LKSFG05D，经费：100万，主持，2020.07-2022.06
[10] 元宇宙数字孪生交通流预测算法研究
贵州省教育厅-省部共建公共大数据国家重点实验室2022年度开放基金，经费：10万，主持，2023.01.10-2025.01.10
期刊论文
[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. https://doi.org/10.1109/TII.2023.3321332 [SCI Q1，中科院一区TOP]
[2] Junjie Liu, Yu Wang*, Jiaxian Zhu, Weihua Bai, Huibing Zhang, Liyun Zuo, Teng Zhou*, Keqin Li. A Multilayer Spatiotemporal Correlation-Aware Graph Attention Network for Traffic Flow Prediction. IEEE Transactions on Neural Networks and Learning Systems, 2025. https://doi.org/10.1109/TNNLS.2025.3630903 [SCI Q1，中科院一区TOP]
[3] Jian Zhu, Ganxi Xu, Zhizhe Lin, Jinyi Long, Teng Zhou*, Bin Sheng*, Xiaokang Yang. Semi-Supervised Privacy-Preserving EEG-Based Motor Imagery Classification via Self and Adversarial Training. IEEE Transactions on Automation Science and Engineering, 2025. https://doi.org/10.1109/TASE.2025.3604283 [SCI Q1，中科院二区TOP]
[4] Bowen Yang, Zhizhe Lin, Jinglin Zhou, Hai Xie, Youyi Song, Teng Zhou*. Time Information-enhanced Multi-space Modeling Spatiotemporal Transformer Network for Traffic Flow Forecasting. IEEE Transactions on Emerging Topics in Computing, 2026. https://doi.org/10.1109/TETC.2026.3680507 [SCI Q1，中科院二区]
[5] 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. https://doi.org/10.1109/TIM.2023.3341121 [SCI Q1，中科院二区TOP]
[6] Youyi Song, Yuanlin Liu, Zhizhe Lin, Jinglin Zhou, Duo Li, Teng Zhou*, Man-Fai Leung. Learning From AI-Generated Annotations for Medical Image Segmentation. IEEE Transactions on Consumer Electronics, 2024. https://doi.org/10.1109/TCE.2024.3474037 [SCI Q1，中科院二区]
[7] Danqi Cai, Kunwei Chen, Zhizhe Lin, Duo Li, Teng Zhou*, Man-Fai Leung. JointSTNet: Joint Pre-Training for Spatial-Temporal Traffic Forecasting. IEEE Transactions on Consumer Electronics, 2024. https://doi.org/10.1109/TCE.2024.3476129 [SCI Q1，中科院二区]
[8] Chaozhi Yu, Zhizhe Lin, Hongnan Cheng, Chunjie Cao, Teng Zhou*, Man-Fai Leung. Quantum-Inspired Dynamic Spatiotemporal Matching Transformer for Traffic Flow Forecasting. IEEE Transactions on Consumer Electronics, 2025. https://doi.org/10.1109/TCE.2025.3642339 [SCI Q1，中科院二区]
[9] Farooq Ahmed, Teng Zhou*, Adnan Ali, Theyazn HH Aldhyani, Ali Kasif Bashir, Nada Alzaben. End-to-End Multimedia Protection for Consumer-Centric Digital Twins via Blockchain and Hardware-Rooted Trust. IEEE Transactions on Consumer Electronics, 2026. https://doi.org/10.1109/TCE.2026.3661887 [SCI Q1，中科院一区]
[10] Farooq Ahmed, Teng Zhou*, Jabar Mahmood, Bander A. Alzahrani, Shehzad Ashraf Chaudhry*. A Privacy-Preserving Consumer-Centric IoMT Framework Using TEE-Enabled Federated Learning, CP-ABE, and Blockchain. IEEE Transactions on Consumer Electronics, 2026. https://doi.org/10.1109/TCE.2026.3661887 [SCI Q1，中科院一区]
[11] Farooq Ahmed, Teng Zhou*, Jabar Mahmood, Bander A. Alzahrani, Shehzad Ashraf Chaudhry*. A Privacy-Preserving Consumer-Centric IoMT Framework Using TEE-Enabled Federated Learning, CP-ABE, and Blockchain. IEEE Transactions on Consumer Electronics, 2026. https://doi.org/10.1109/TCE.2026.3661887 [SCI Q1，中科院一区]
[12] Dawei Wang, Zhizhe Lin, Hai Xie, Man-Fai Leung, Teng Zhou*, Chunjie Cao. Multimodal Weather-Embedding-Assisted Framework for Traffic Flow Forecasting. IEEE Transactions on Consumer Electronics, 2026. https://doi.org/10.1109/TCE.2026.3690524 [SCI Q1，中科院一区]
[13] 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，中科院一区TOP]
[14] Zhizhe Lin, Zequan Li, Chaozhi Yu, Chunjie Cao, Teng Zhou*, Guangyin Jin. Cross-City Pretraining Transfer Learning Model for Traffic Flow Prediction. IEEE Internet of Things Journal, 2026. https://doi.org/10.1109/JIOT.2026.3685259 [SCI Q1，中科院一区TOP]
[15] 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. https://doi.org/10.1109/JIOT.2023.3317190 [SCI Q1，中科院一区TOP]
[16] 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，中科院一区TOP]
[17] Farooq Ahmed, Teng Zhou*, Hazrat Bilal, Faiz Ul Islam, Rizwan Ullah, Athanasios V. Vasilakos. Enhancing Healthcare Data Integrity and Access Control Using Blockchain and Industry 5.0. IEEE Internet of Things Journal, 2025. https://doi.org/10.1109/JIOT.2025.3598320 [SCI Q1，中科院二区TOP]
[18] Junjie Liu, Jiaxian Zhu, Weihua Bai, Huibing Zhang, Lianghai Wu*, Liyun Zuo, Teng Zhou*, Keqin Li. A Multi-modal Lightweight Transformer for Bearing Fault Diagnosis under High-Noise Industrial IoT Environments. IEEE Internet of Things Journal, 2025. https://doi.org/10.1109/JIOT.2025.3634730 [SCI Q1，中科院二区TOP]
[19] 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, 2020. https://doi.org/10.1109/JIOT.2020.3015381 [SCI Q1，中科院一区TOP]
[20] 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, 2019. https://doi.org/10.1109/TCBB.2019.2953701 [SCI Q1]
[21] Heng Zhang, Zhizhe Lin, Hai Xie, Jinglin Zhou, Youyi Song, Teng Zhou*. Two-way Heterogeneity Model for Dynamic Spatiotemporal Traffic Flow Prediction. Knowledge-based Systems, 2025. https://doi.org/10.1016/j.knosys.2025.113635 [SCI Q1，中科院一区TOP]
[22] Zequan Li, Jinglin Zhou, Zhizhe Lin, Teng Zhou*. Dynamic Spatial Aware Graph Transformer for Spatiotemporal Traffic Flow Forecasting. Knowledge-based Systems, 2024. https://doi.org/10.1016/j.knosys.2024.111946 [SCI Q1，中科院一区TOP]
[23] 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，中科院一区TOP]
[24] 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，中科院一区TOP]
[25] Jiaxian Zhu, Weihua Bai, Jialing Zhao, 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，中科院一区TOP]
[26] 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，中科院一区TOP]
[27] Xinyi Chen, Weihua Bai, Jialing Zhao*, Tao Huang, Huibing Zhang, Teng Zhou*, Keqin Li. VulGNN: A High-fidelity Graph Neural Network Framework for Robust Smart Contract Vulnerability Detection. Advanced Engineering Informatics, 2026. https://doi.org/10.1016/j.aei.2026.104701 [SCI Q1，中科院一区TOP]
[28] Jiajun Xian, Yixuan Ye, Wei Zhang, Zishen Chen, Jiaqiang Huang, Zichun Lin, Can Zhou, Hao Liu, Dan Yang*, Nan Meng, Ming Liu, Teng Zhou. MDHGFN: Multiscale Dual Hypergraph Fusion Spatiotemporal Network for Traffic Flow Prediction. Chaos, Solitons & Fractals, 2025. https://doi.org/10.1016/j.chaos.2025.117228 [SCI Q1，中科院一区TOP]
[29] Jiaxian Zhu, Weihua Bai, Huibing Zhang, Weiwei Lin, Teng Zhou*, Keqin Li. Adaptive Multi-Objective Swarm Intelligence for Containerized Microservice Deployment. Future Generation Computer Systems, 2025. https://doi.org/10.1016/j.future.2025.108012 [SCI Q1, 中科院一区TOP]
[30] 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，中科院一区TOP]
[31] 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. https://doi.org/10.1016/j.artmed.2023.102756 [SCI Q1，中科院小类一区TOP]
[32] 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*, 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. https://doi.org/10.1093/cercor/bhac099 [SCI Q1, 神经科学权威期刊]
[33] 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]
[34] 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]
[35] 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, 2020. https://doi.org/10.1016/j.ins.2020.08.033 [SCI Q1，中科院一区TOP]
[36] 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, 2023. https://doi.org/10.1016/j.engappai.2023.106411 [SCI Q1，中科院二区TOP期刊]
[37] 周境林, 周腾*. 人工智能道德增强方案的哲学省思. 东北大学学报（社会科学版）, 2024. https://xuebao.neu.edu.cn/social/CN/Y2024/V26/I4/21 [CSSCI期刊]
发明专利
[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; 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, ZL202210133056.9. [已授权]
[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, ZL202310621659.8. [已授权]
[7] 杨丹; 张衡; 鲜佳君; 林之喆; 周腾; 一种基于双向异质性动态图卷积网络的交通流预测方法, 2025-01-01, 中国, ZL202411196303.5. [已授权]
[8] 吴仁华; 陈粤; 赵芝弘; 张晓磊; 林洁钗; 延根; 肖刚; 郑欣慧; 周腾; 关计添; 林艳; 基于VDMP-CEST技术在弱碱性条件下检测GSH巯基的方法及系统, 2025-05-14, 中国, ZL202311044522.7. [已授权]
[9] 关计添; 赖凌峰; 耿义群; 林凯; 孙树宜; 吴明敏; 谢润夏; 陈蓓蓓; 陈粤; 郑欣慧; 周腾; 张晓磊; 林艳; 吴仁华; 一种靶向识别帕金森病脑内异常α-突触核蛋白的MRI-CEST多肽探针、成像方法及设备, 2024-03-26, 中国, ZL202310971030.6. [已授权]
学生去向
博士后：
Farooq Ahmed (在站)
Shahid Ali (出站)
在读博士生：
曹楚昕 (2023级)
陈花园 (2025级)
已毕业硕士生：
张塽旖 (已毕业)
成果：发表SCI论文3篇，中文核心1篇，授权发明专利1项
去向：深圳市腾讯计算机系统有限公司工作
郑仕强 (已毕业)
成果：发表SCI论文4篇，授权发明专利1项
去向：深圳大学博士研究生在读
谭冠儒 (已毕业)
成果：发表SCI论文3篇
去向：湖南大学博士研究生在读
窦浩文 (已毕业)
成果：发表SCI论文3篇，中科院一区2篇，申请发明专利1项
去向：西安交通大学博士研究生在读
全天鸿 (已毕业)
成果：发表SCI论文3篇，中科院一区2篇，MICCAI一篇
去向：北京理工大学博士研究生在读
崔植涵 (已毕业)
成果：发表SCI论文4篇
去向：贵州省公路局大数据服务中心
黄博宇 (已毕业)
成果：发表SCI论文6篇，中科院一区2篇
去向：南昌市城市管理局
杨丽莎 (已毕业)
成果：授权发明专利1项
去向：中国药科大学博士研究生在读
已毕业本科生：
葛祖浩 (已毕业)
成果：发表SCI论文3篇，ICME口头报告1篇，广东省挑战杯二等奖
去向：保送复旦大学硕士研究生
鲁华康 (已毕业)
成果：发表SCI论文3篇，广东省挑战杯二等奖
去向：保送华东师范大学硕士研究生
杨舒敏 (已毕业)
成果：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
去向：保送厦门大学硕士研究生
李桦樱 (已毕业)
成果：发表SCI论文3篇，广东省挑战杯一等奖
去向：保送厦门大学硕士研究生
蔡丹琪 (已毕业)
成果：发表SCI论文2篇，其中IEEE Transactions 1篇，广东省挑战杯一等奖
去向：保送北京大学硕士研究生
