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Resume (English only)
Academic Achievements
Published over 60 papers as first/communicating author in top conferences such as NeurIPS, AAAI, IJCAI, CVPR, ICCV, ACM MM, and renowned journals like TKDE, TNNLS, TGRS, TMM, Inf Fus, and Inf Sci. Total number of published papers exceeds 110, including 3 highly cited papers and 1 best paper award at an international conference. Google Scholar citations exceed 3000. Has led multiple projects including NSFC General and Youth Programs, Key R&D Projects of Sichuan Province, Guangdong Provincial Natural Science Foundation, Shenzhen Municipal Natural Science Foundation, China Postdoctoral Science Foundation, and several basic research funds from central universities. Also, involved as a sub-project leader in the National Key R&D Program 'Key Technologies and Varieties for Super Drug-Resistant Bacteria Vaccines' and as a key member in the Innovation 2030 'New Generation AI' and 'Brain Science and Brain-Inspired Research' major projects.
Research Experience
Currently serves as a member of the Intelligent Service Committee of the Chinese Association for Artificial Intelligence, a member of the Big Data and Artificial Intelligence Committee of the Chinese Society for Industrial and Applied Mathematics, a member of the Embodied Intelligence Committee of the Automation Society, and a director of the Sichuan Province Artificial Intelligence Society. Acts as a reviewer for journals such as TPAMI, TKDE, TNNLS, TIP, TFS, NN, PR, and is an SPC for AAAI, as well as a PC member for international conferences like IJCAI, NeurIPS, CVPR, ICCV, and ACM MM.
Education
Visited George Mason University from 2012 to 2014; obtained a Ph.D. from South China University of Technology in 2014.
Background
Associate Professor at the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) / (Shenzhen) Advanced Research Institute, Master's supervisor, Senior Member of IEEE/CCF/CSIG, High-level Talent in Shenzhen, winner of UESTC's 'Academic Newcomer Award' in 2023, and selected as one of the top 2% scientists globally in 2024. Engaged in research on artificial intelligence (multi-view learning, graph learning, unsupervised learning, etc.) and smart healthcare.
Miscellany
Contact: yazhou.ren@uestc.edu.cn; Address: No. 2006 Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan, China; Postal Code: 611731