个人简介Dr. Teng Zhou is a Full Professor with the School of Cyberspace Security (School of Cryptology), Hainan University. 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 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 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 in 2010.
For the recent five years, he has been supported with two National Natural Science Foundation of China, two Guangdong Provincial Natural Science Foundation, one Provincial Philosophy and Social Science Foundation, and one Education Science Planning Project. He has published about 100 academic publications, which have been cited over 2,200 times. His h-index is 27, and i10-index is 50. 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 the peried of his Ph.D. candidate, 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.
周腾博士，广东汕头人，海南大学网络空间安全学院教授、博士生导师，海南省拔尖人才。研究方向为时空数据分析与处理，高维数据分析与 处理，具体包括交通流大数据建模与预测，磁共振波普分析，脑电数据处理，高维遥感数据处理等，近五年主持2项国家自然科学基金、2项广东省自然科学基金、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 TIM、IEEE TCE、IEEE TCBB、IEEE JBHI、IEEE IOTJ、MICCAI等期刊和会议上发表学术论文101篇，他引2100多次，h-index为26，i10-index为50，累计影响因子320，中科院一区、TOP期刊23篇，曾入选ESI热点文章1篇，高被引文章5篇，单篇最高被引150多次；申请发明专利14项，已授权5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Digital Transportation and Safety和Smart Construction and Sustainable Cities青年编委，以及Mathematics、Algorithms、Big Data and Cognitive Computing、BioMedInformatics、Information等期刊特辑编委。博士期间，曾联合创办广东佳学信息科技有限公司，后整体改制为广东佳奇科技教育股份有限公司在新三板挂牌上市，股票代码834061。
Prof. Zhou is looking for self-motivated graduated students, Ph.D. candidates, and postdoctoral research fellows. Remote cooperation is also welcome.
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或发送电子信到我的邮箱。
WeChat & Mobile: +1(360)453-7833
Email:
Google Scholar: oQIF23YAAAAJ
Personal Website: http://zhouteng.net
工作经历March 2014 to March 2015, Guangdong Jaxus Information Technology Ltd., Co-Founder 2014/04至2015/04，广东佳学信息科技有限公司，联合创始人
June 2016 to December 2016, Visiting Ph.D. Candidate, Institute of Advanced Integration Technology, The Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Science (CAS), Shenzhen, China 2016/07至2016/12，中科院深圳先进技术研究院集成所，客座博士生
November 2017 to July 2023, Lecturer, Department of Computer Science, Shantou University, Shantou, China 2017/11至2023/07，汕头大学计算机系，讲师
July 2018 to May 2019, Research Associate, Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong SAR 2018/08至2019/05，香港理工大学智慧健康中心，助理研究员
July 2022 to November 2023, Postdoctoral Research Fellow, Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong SAR 2022/07至2023/11，香港理工大学智慧健康中心，博士后研究员
August 2023 until now, Professor, School of Cyberspace Security, Hainan University, Haikou, China 2023/08至今，海南大学网络空间安全学院，教授、博士生导师
讲授课程本科生课程Introduce to Computer Network 计算机网络
The Principle of Internet of Things 物联网应用技术
Artificial Intelligence 智能系统
研究生课程Internet of Things and Edge Computing 物联网应用技术
Research Methodology 研究方法
Acadamic Ethics 学术道德规范
The Principle of Data Science 数据科学基础
科研项目Key Technologies of Transfer Learning, Continual Learning and Physical Constraint for Traffic Flow Prediction in Data-scarce Regions, Natural Science Foundation of China (NSFC), No. 62462021, PI, 320,000 RMB, 2025.01-2028.12 国家自然科学基金，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，No. 62462021，32万，主持
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 国家自然科学基金，面向城市道路环境时空上下文感知的交通流预测研究，No. 61902232，24万，主持
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 国家自然科学基金重点国际(地区)合作与交流项目，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，No. 82020108016，249万，第一参与人、子课题负责人
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 广东省自然科学基金，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，10万，No. 2018A030313291，主持
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 广东省自然科学基金，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，10万，No. 2022A1515011590，主持
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 广东省教育科研“十三五”规划课题，以成果为导向翻转测验驱动的教学模式研究——以计算机网络为例，No. 2018GXJK048，3万，主持
Metaverse Digital Twin Traffic Flow Forecasting, Educational Science Planning Project of Guangdong Province, PI, 100,000 RMB, 2023.01.10-2025.01.10 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，元宇宙数字孪生交通流预测算法研究，10万，主持，2023.01.10-2025.01.10
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 李嘉诚基金会交叉研究项目，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，No. 2020LKSFG05D, 100万，主持
教改项目教育部产学合作协同育人项目，面向新工科的数据科学与大数据技术创新创业协同育人，No. 201801192034，主持
广东省教育厅校企合作协同育人项目，面向数据科学的虚拟现实可视化实践基地建设，No. PROJ1007158166460436480，主持
海南省高等学校教育教学改革研究重点资助项目，面向海南自贸港数据要素的数据科学与大数据技术人才培养方案研究，No. Hnjg2024ZD-16，主持
科研论文期刊论文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]
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]
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]
Danqi Cai, Kunwei Chen, Zhizhe Lin, Duo Li, Teng Zhou*, Ying Ling, 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]
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]
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]
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]
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]
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]
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]
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]
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]
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，中科院一区TOP]
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]
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]
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]
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. https://doi.org/10.1093/cercor/bhac099 [SCI Q1, 神经科学权威期刊]
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]
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]
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]
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]
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. 2020. https://doi.org/10.1016/j.neucom.2020.11.026 [SCI Q1，中科院二区TOP]
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. 2017. https://doi.org/10.1016/j.neucom.2017.03.049 [SCI Q1，中科院二区TOP]
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，中科院二区TOP]
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]
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]
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. https://doi.org/10.1016/j.compbiomed.2017.03.031 [SCI Q1，2017年入选ESI高被引论文]
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]
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. 2020. https://doi.org/10.1016/j.cmpb.2021.106173 [SCI Q1]
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]
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]
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. https://doi.org/10.1063/1.5120502 [SCI Q1]
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 [SCI, CCF B类期刊]
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. https://doi.org/10.1007/s11063-018-9804-x [SCI Q1]
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. https://doi.org/10.1016/j.physa.2021.126485 [SCI Q2]
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. https://doi.org/10.1016/j.physa.2019.121461 [SCI Q2]
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. https://doi.org/10.1016/j.physa.2019.122601 [SCI Q2]
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. 2020. https://doi.org/10.1049/itr2.12127 [SCI Q2]
Lingru Cai, Qian Chen, Weihong Cai, Xuemiao Xu, Teng Zhou*, Jing Qin. SVRGSA: a hybrid learning based model for short-term traffic flow forecasting. IET Intelligent Transport Systems. 2018. https://doi.org/10.1049/iet-its.2018.5315 [SCI Q2]
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. https://doi.org/10.1049/iet-its.2018.5385 [SCI Q2]
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. 2023. https://doi.org/10.1049/itr2.12448 [SCI Q2]
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. https://doi.org/10.3390/math11163574 [SCI Q1，2024年5月入选ESI高被引论文]
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. https://doi.org/10.3390/math10091594 [SCI Q1，2022年11月入选ESI高被引论文]
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. https://doi.org/10.1016/j.measurement.2019.107049 [SCI，2020年入选ESI热点论文、ESI高被引论文]
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. 2020. https://doi.org/10.1109/ACCESS.2019.2963784 [SCI，2020年两次入选ESI高被引论文]
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. https://doi.org/10.1109/ACCESS.2021.3051079 [SSCI收录]
会议论文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). 2023. https://doi.org/10.1007/978-3-031-43904-9_13 [CCF B类会议，医学图像AI顶会]
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). 2020. https://doi.org/10.1007/978-3-030-59719-1_18 [CCF B类会议，医学图像AI顶会]
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) 2020. https://doi.org/10.1007/978-3-030-59719-1_31 [CCF B类会议，医学图像AI顶会]
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). 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]
Wei Wang, Yu Luo, Jie Ling, Youyi Song, Teng Zhou*. C^3Net: a cross-channel cross-scale and cross-stage network for single image super-resolution. IEEE International Conference on Multimedia and Expo (ICME 2022). 2022. https://doi.org/10.1109/ICME52920.2022.9859958 [仅次于ECCV的B类会议]
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 (MSN 2019). 2019. https://doi.org/10.1109/MSN48538.2019.00093 [CCF C类会议]
Guanru Tan, Shiqiang Zheng, Boyu Huang, Zhihan Cui, Hanwen Dou, Xi Yang*, Teng Zhou. Hybrid GA-SVR: An Effective Way to Predict Short-term Traffic Flow. The 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2021). 2021. https://doi.org/10.1007/978-3-030-95388-1_4 [CCF C类会议]
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). 2022. https://doi.org/10.1109/ISBI52829.2022.9761496 [医学图像AI顶会]
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). 2020. https://doi.org/10.1109/ISBI45749.2020.9098488 [医学图像AI顶会]
发明专利周腾; 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]
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]
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]
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]
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]
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
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
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.
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.
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.
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.
已毕业硕士生张塽旖，发表SCI论文3篇，中文核心1篇，授权发明专利1项，已毕业，深圳市腾讯计算机系统有限公司工作
郑仕强，发表SCI论文4篇，授权发明专利1项，已毕业，深圳大学博士研究生在读
谭冠儒，发表SCI论文3篇，已毕业，湖南大学博士研究生在读
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
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
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
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
已毕业本科生葛祖浩，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
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
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
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