Dr. Yazhou Ren is currently a Professor at the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). He received his B.S. degree in Information and Computing Science from the School of Mathematics, South China University of Technology (SCUT) in 2009, and his Ph.D. degree in Computer Application Technology from the School of Computer Science and Engineering, SCUT, in 2014. From 2012 to 2014, he was a jointly trained Ph.D. student at George Mason University, USA. Prior to his current position, he served as a Lecturer (2015–2019) and then as an Associate Professor (2019–2025) at UESTC, before being promoted to Full Professor in May 2025.
His research interests include artificial intelligence and medical big data. He teaches undergraduate courses such as Machine Learning and Computer Vision, as well as a graduate-level course on Machine Learning. He has supervised numerous undergraduate theses, among which one was awarded the Outstanding Undergraduate Thesis Award at the university level, and two received the Outstanding Undergraduate Thesis Award at the school level.
任亚洲教授，现就职于电子科技大学计算机科学与工程学院。2009年于华南理工大学理学院数学系获信息与计算科学专业学士学位，2014年于华南理工大学计算机科学与工程学院获计算机应用技术专业博士学位。2012年至2014年赴美国乔治梅森大学进行联合培养博士学习。2015年至2019年任电子科技大学计算机科学与工程学院讲师，2019年至2025年任副教授，2025年5月起任教授。
研究方向为人工智能与医疗大数据。主讲本科生课程《机器学习》《计算机视觉》及研究生课程《机器学习》。指导本科生毕业设计多次获奖，其中校级优秀毕业论文奖1项，院级优秀毕业论文奖2项。
Ding Xiaofeng is a Doctor of Engineering and a Professor and Ph.D. supervisor at the School of Computer Science, Huazhong University of Science and Technology. His main research interests include databases, multimodal data management, data intelligence, data privacy and security, and large language models.
As a postdoctoral researcher, he conducted research on data management, privacy protection, query processing, and data-intensive service technologies at the National University of Singapore in 2010 and at the University of Adelaide, Australia in 2013, respectively.
He has published or had accepted more than 50 academic papers in leading international and domestic journals and conferences, including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment (PVLDB) / International Conference on Very Large Databases (VLDB), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Distributed Computing Systems (ICDCS), ACM Computing Surveys, ACM International Conference on Information and Knowledge Management (CIKM), as well as Science China Information Sciences, Chinese Journal of Computers, and Software Journal.
丁晓锋，工学博士，华中科技大学计算机学院教授，博士生导师，主要研究方向为数据库、多模态数据管理、数据智能、数据隐私和安全、大模型。作为博士后研究员，曾分别于2010年和2013年在新加坡国立大学和澳大利亚阿德莱德大学从事数据管理、隐私保护、查询处理、数据密集型服务技术方面的研究。目前，已经在包括IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Dependable and Secure Computing、IEEE Transactions on Information Forensics and Security、International Conference on Very Large Databases (VLDB)、IEEE International Conference on Data Engineering (ICDE)、IEEE International Conference on Distributed Computing Systems (ICDCS)、ACM Computing Surveys、ACM International Conference on Information and Knowledge Management (CIKM)、中国科学：信息科学、计算机学报、软件学报等国际、国内知名学术刊物和会议上发表或录用学术论文50余篇。
Hu Bin, Ph.D., is a Professor and Ph.D./Master’s supervisor. His research focuses on computer vision, neural computing, intelligent computing, and artificial intelligence.
He is currently engaged in cutting-edge research in international frontier areas such as biologically inspired visual-brain cognitive neural modeling and key problems in visual perception, as well as the engineering applications of computer vision technologies in intelligent systems.
His research outcomes have been published in high-level SCI Q1 journals in computer science and artificial intelligence, leading domestic and international academic journals, and top international conferences such as IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Neurocomputing (NEUCOM), and Neural Computing and Applications (NCAA).
In recent years, he has led and participated in 3 National Natural Science Foundation of China (NSFC) projects, 5 provincial natural science projects, and 5 municipal/departmental-level research projects.
He also serves as a reviewer for several SCI Q1 journals and major international conferences in artificial intelligence, including IoT, SIVP, IJCAI, ECAI, FCST, CEA, and CE. He has supervised graduate students who have won several national-level academic competition awards.
胡滨，博士，教授，博士/硕士生导师，从事计算机视觉、神经计算、智能计算、人工智能方向的研究。目前主要聚焦于生物视脑认知神经建模、视觉感知关键性问题等国际前沿科学领域的研究，以及计算机视觉技术在智能系统的工程应用。研究成果在计算机学科/人工智能领域的SCI国际TOP期刊、国内外重要学术刊物、国际学术会议TNNLS、NEUCOM、NCAA等发表高水平学术论文。近年先后主持和参与国家自然科学基金项目3项、省自然科学基金5项、地厅级基金5项。担任人工智能领域的SCI国际TOP期刊、国际重要学术会议、国内外重要学术刊物IoT、SIVP、IJCAI、ECAI、FCST、CEA、CE等审稿专家，指导研究生获得国家级学科竞赛奖项若干项。
Research areas and directions include computer vision, neural computing, intelligent computing, brain-inspired neural modeling, video analysis and understanding, visual perception and decision-making, object detection and classification, motion pattern recognition, behavior analysis and recognition, and scene analysis and understanding.
Wu Yun is a male scholar from Jingdezhen, Jiangxi Province, China. He holds a Ph.D. degree and serves as an Associate Professor and Master’s supervisor. He is the Director of the Institute of Computer Simulation at Guizhou University, a senior evaluation expert at Guizhou University, and the academic leader of the “Computer Vision and Medical Image Processing Team.” He is a Senior Member of the China Computer Federation (CCF), a member of the China Communications Society, and a member of IEEE. He also serves as a reviewer for several SCI-indexed journals, including Artificial Intelligence Review, Biomedical Signal Processing and Control, and Applied Intelligence.
Since August 2009, he has been a faculty member at the School of Computer Science and Technology, Guizhou University. His main research interests include computer vision, medical image processing, recommender systems, and big data technologies. He teaches courses such as Machine Learning and Data Mining, Software Engineering, Computer Graphics, Digital Image Processing, Mobile Internet Technology, and Multimedia Technology.
He has extensive knowledge of big data and artificial intelligence theories, as well as experience in information system project development and management, with over 10 years of industrial experience in commercial R&D and project management.
He has led and participated in multiple research projects, including 1 National Natural Science Foundation of China (NSFC) project, 2 Guizhou Provincial Natural Science Foundation projects, 1 Guiyang Science and Technology Program project, 1 Ministry of Science and Technology project, 1 Ministry of Education project, 2 teaching reform projects, 2 university-level projects, and 4 industry–academia collaborative projects.
He has published more than 60 academic papers, including 26 SCI-indexed papers, 12 EI-indexed papers, and 24 papers in Chinese core journals.
His research areas include artificial intelligence, big data technology, computer vision, medical image processing, recommender systems, and data mining.
吴云，男，江西景德镇人，博士，副教授，硕士研究生导师，贵州大学计算机仿真研究所所长，贵州大学评估专家，“计算机视觉与医学图像处理团队”学术带头人，中国计算机学会（CCF）高级会员，中国通讯学会会员，美国IEEE会员，Artificial Intelligence Review、Biomedical Signal Processing and Control、Applied Intelligence等SCI期刊审稿专家。2009年8月起至今，担任贵州大学计算机科学与技术学院教师，主要从事计算机视觉、医学图像处理、推荐系统、大数据技术等相关研究工作，承担课程有：《机器学习与数据挖掘》、《软件工程》、《计算机图形学》、《数字图像处理》、《移动互联网技术》、《多媒体技术》。熟悉大数据领域、人工智能相关理论知识及信息化项目建设管理流程，具有企业10多年的商业化项目研发和管理经验。主持国家自然科学基金1项、贵州省自然科学基金2项、贵阳市科技计划项目1项、科技部项目1项、教育部项目1项、教学改革项目2项、校级项目2项、横向项目4项；发表论文60余篇（SCI论文26篇、EI论文12篇、中文核心论文24篇）。
研究领域与方向：人工智能、大数据技术、计算机视觉、医学图像处理、推荐系统、数据挖掘