个人简介：
汤云波，男，博士，讲师（校聘副教授），硕士生导师，2022年博士毕业于武汉大学，同年加入beat365正版唯一官网。研究方向包括：生理信号处理与人工智能、神经科学与工程、认知计算、脑疾病辅助诊断与干预等。在IEEE TKDE/IEEE TCYB/ACM CSUR等国际权威期刊发表SCI论文十余篇。担任Neural Networks/Cognitive Computation/Scientific Data等期刊审稿人。
招生信息：
欢迎勤奋好学、数学理论功底扎实、编程能力优秀，特别是对脑科学与人工智能感兴趣的硕士生和本科生与我交流联系。
招生专业：计算机科学与技术、电子信息、人工智能
邮箱：yunbotang@fzu.edu.cn
科研项目：
国家自然科学基金面上项目，面向儿童认知障碍的脑电大数据智能化分析，2022.01-2025.12，参与；
湖北省重点研发计划项目，自闭症儿童个性化智能干预与精细评估，2021.06-2023.12，参与；
湖北省技术创新专项重大项目，脑电大数据智能化分析技术与应用，2019.01-2021.12，参与.
近年发表的主要论文：
[1]. Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica Monaghan, Paul F Sowman, David Mcalpine. Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data[J].Neural Networks, 2023.（中科院一区，CCF-B刊，IF: 9.657）
[2]. Yunbo Tang, Dan Chen, Honghai Liu, Chang Cai, Xiaoli Li. Deep EEG Superresolution via Correlating Brain Structural and Functional Connectivities[J].IEEE Transactions on Cybernetics, 2022.（中科院一区Top，CCF-B刊，IF: 19.118）
[3]. Yunbo Tang, Dan Chen, Xiaoli Li. Dimensionality Reduction Methods for Brain Imaging Data Analysis[J].ACM Computing Surveys, 2021.（中科院一区Top，IF: 14.324）
[4]. Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Zomaya, Quanming Yao, Xiaoli Li. Enhanced Bayesian Factorization with Variant Scale Partitioning for Multivariate Time Series Analysis[J].IEEE Transactions on Knowledge and Data Engineering, 2021.（中科院二区，CCF-A刊，IF: 9.235）
[5]. Dan Chen,Yunbo Tang, Hao Zhang, Lizhe Wang, Xiaoli Li. Incremental Factorization of Big Time Series Data with Blind Factor Approximation[J].IEEE Transactions on Knowledge and Data Engineering, 2021.（中科院二区，CCF-A刊，IF: 9.235，ESI高被引）
[6]. Yunbo Tang, Dan Chen, Lizhe Wang, Albert Y. Zomaya, Jingying Chen, Honghai Liu. Bayesian Tensor Factorization for Multi-way Analysis of Multi-dimensional EEG[J].Neurocomputing, 2018.（中科院二区，CCF-C刊，IF: 5.779）
[7]. Tengfei Gao, Dan Chen, Yunbo Tang, Zhekai Ming, Xiaoli Li. EEG Reconstruction with a Dual-scale CNN-LSTM Model for Deep Artifact Removal[J]. IEEE Journal of Biomedical and Health Informatics.（中科院一区Top，CCF-C刊，IF: 7.021）
[8]. Dingze Yin, Dan Chen,Yunbo Tang, Heyou Dong, Xiaoli Li. Adaptive Feature Selection with Shapley and Hypothetical Testing: Case Study of EEG Feature Engineering[J].Information Sciences, 2022.（中科院一区Top，CCF-B刊，IF: 8.233）
[9]. Tengfei Gao, Dan Chen,Yunbo Tang, Bo Du, Rajiv Ranjan, Albert Y. Zomaya, Schahram Dustdar. Adaptive Density Peaks Clustering: Towards Exploratory EEG Analysis[J].Knowledge-Based Systems, 2022.（中科院一区Top，CCF-C刊，IF: 8.139）
[10]. Shasha Zhang, Dan Chen,Yunbo Tang, Xiaoli Li. Learning Graph-based Relationship of Dual-modal Features Towards Subject Adaptive ASD Assessment[J].Neurocomputing, 2022.（中科院二区，CCF-C刊，IF: 5.779）
[11]. Shasha Zhang, Dan Chen,Yunbo Tang, Lei Zhang. Children ASD Evaluation Through Joint Analysis of EEG and Eye-Tracking Recordings With Graph Convolution Network[J].Frontiers in Human Neuroscience, 2021.（中科院三区，IF: 3.473）
[12]. Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu, Jessica J.M. Monaghan, Paul Sowman, David McAlpine. Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023.（CCF-B刊，IF: 3.702）
[13]. Peilu Chen, Dan Chen, Lei Zhang, Yunbo Tang, Xiaoli Li. Automated Sleep Spindle Detection with Mixed EEG Features[J]. Biomedical Signal Processing and Control, 2021.（中科院二区，IF: 5.076）
[14]. Shasha Zhang, Dan Chen, Rajiv Ranjan, Hengjin Ke,Yunbo Tang, Albert Y. Zomaya. A Lightweight Solution to Epileptic Seizure Prediction based on EEG Synchronization Measurement[J].The Journal of Supercomputing, 2021.（中科院三区，CCF-C刊，IF: 2.557）
