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Shuiwang Ji, Professor
Presidential Impact Fellow |
News
The DIVE Lab has four papers accepted to ICML 2024.
The DIVE Lab has four papers accepted to ICLR 2024.
Limei Wang is named an EECS rising star.
The DIVE Lab has five papers accepted to NeurIPS 2023.
The AI4Science paper is released. [Paper] [GitHub] [Website]
Brief Biography
Dr. Ji is currently a Professor and Presidential Impact Fellow in the Department of Computer Science & Engineering, Texas A&M University, directing the DIVE Lab. In research, Dr. Ji strives to seek synergies between foundational and use-inspired themes. His foundational research centers on developing innovative models and algorithms in the fields of machine learning, geometric deep learning, and artificial intelligence. His use-inspired research aims at tackling challenges in various scientific and engineering disciplines, including physics-informed modeling and simulations, biology, drug discovery, quantum physics and chemistry, molecular dynamics and simulation, fluid dynamics, partial differential equations, materials science and engineering, manufacturing, neuroscience, and imaging, among others.
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) and ACM Computing Surveys (CSUR). He regularly serves as an Area Chair for International Conference on Learning Representations (ICLR), International Conference on Machine Learning (ICML), and Annual Conference on Neural Information Processing Systems (NeurIPS).
Dr. Ji achieved the highest ranking in the middle-school exit exam at the provincial level in China. He entered graduate school without high-school and college education, and eventually received the Ph.D. degree in Computer Science from Arizona State University in 2010, advised by Prof. Jieping Ye.
Dr. Ji is a Fellow of IEEE and AIMBE, and a Distinguished Member of ACM.
DIVE Lab
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AIRS: Artificial Intelligence Research for Science |
Logo by Zhao Xu