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Shuiwang Ji, Professor
Presidential Impact Fellow |
News
The DIVE Lab has four papers accepted to ICML 2023.
The DIVE Lab has four papers accepted to ICLR 2023.
Dr. Ji has been named a Fellow of IEEE, for contributions to machine learning and data mining.
The DIVE Lab has four papers accepted to NeurIPS 2022.
The GraphBP paper has been accepted to ICML as a long presentation (2.1% acceptance rate).
Dr. Ji has been elected as a Fellow of AIMBE.
Dr. Ji received the CSE Graduate Faculty Teaching Excellence Award.
Brief Biography
Dr. Shuiwang Ji is currently a Professor and Presidential Impact Fellow in the Department of Computer Science & Engineering, Texas A&M University, directing the Data Integration, Visualization, and Exploration (DIVE) Laboratory. He received the Ph.D. degree in Computer Science from Arizona State University in 2010, advised by Prof. Jieping Ye. His research interests include machine learning for graphs, molecules, materials, and quantum systems. Dr. Ji received the National Science Foundation CAREER Award in 2014. Currently, he serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), ACM Transactions on Knowledge Discovery from Data (TKDD), and ACM Computing Surveys (CSUR). He regularly serves as an Area Chair or equivalent roles for AAAI Conference on Artificial Intelligence (AAAI), International Conference on Learning Representations (ICLR), International Conference on Machine Learning (ICML), International Joint Conference on Artificial Intelligence (IJCAI), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), and Annual Conference on Neural Information Processing Systems (NeurIPS).
Dr. Ji is a Fellow of IEEE and AIMBE, and a Distinguished Member of ACM.
DIVE Lab
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DIG: Dive into Graphs |
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