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，同年加入福州大学计算机与大数据学院。研究兴趣为脑机接口、医学信号分析与处理、神经科学与工程、脑疾病智能诊断等，具体研究内容包括脑电超分辨率重建、脑电生物标记物构建、脑功能连接度量、脑网络分析、脑状态分类等，系列工作有效支持包括自闭症、癫痫、重度抑郁症、睡眠障碍等脑功能性疾病的评估诊断。在ieee tkde/ieee tcyb/ieee jbhi/acm csur等国际权威期刊发表sci论文十多篇。担任tkde/tnsre/neural networks/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、编程能力突出，对脑机接口、医学信号分析与处理、脑疾病诊断、情绪识别等感兴趣的硕士生和本科生与我交流联系。
邮箱：yunbotang@fzu.edu.cn
科研项目：
近年发表的主要论文：
[1]. yunbo tang, weirong huang, rongchang liu, yuanlong yu. learning interpretable brain functional connectivity via self-supervised triplet network with depth-wise attention[j].ieee journal of biomedical and health informatics, 2024.（中科院一区，ccf-c刊）
[2]. 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）
[3]. 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，ccf-b刊，if: 19.118）
[4]. yunbo tang, dan chen, xiaoli li. dimensionality reduction methods for brain imaging data analysis[j].acm computing surveys, 2021.（中科院一区，acm旗舰期刊）
[5]. 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）
[6]. 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，esi高被引）
[7]. 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）
[8]. su wei, yunbo tang, tengfei gao, yaodong wang, fan wang, dan chen. scale-variant structural feature construction of eeg stream via component-increased dynamic tensor decomposition[j].knowledge-based systems, 2024.（共同一作，中科院一区，ccf-c刊）
[9]. 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，2022.（中科院一区，ccf-c刊，亮点论文）
[10]. 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，ccf-b刊）
[11]. 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，ccf-c刊）
[12]. 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）
[13]. zhekai ming, dan chen, tengfei gao, yunbo tang, weiping tu, jingying chen. v2ied: dual-view learning framework for detecting events of interictal epileptiform discharges[j]. neural networks, 2024.（中科院一区，ccf-b刊）
[14]. 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.（中科院三区，ccf-b刊）
[15]. heyou dong, dan chen, yukang chen, yunbo tang, dingze yin, xiaoli li. a multi-task learning model with reinforcement optimization for asd comorbidity discrimination. computer methods and programs in biomedicine, 2023. （中科院二区）
