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About Me Dr. Xiaobo Xia currently is a professor at School of Information Science and Technology, University of Science and Technology of China. Before that, he was a postdoctoral research fellow at School of Computing of National University of Singapore. He obtained his Ph.D. degree at School of Computer Science of The University of Sydney and received his bachelor degree at Xidian University. He is a recipient of Google Fellowship (Google AI), JProcRSNSW Ph.D. Thesis Award, and NeurIPS Top Area Chair Award. He regularly serves as area chairs for ICML/NeurIPS/ICLR/ACM MM. He also serve as an Action Editor for Transactions on Machine Learning Research. |
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Research Focus Our research is centered on building world models and foundational models that integrate physical laws and spatio-temporal dimensions, leveraging multimodal data and techniques to push the boundaries of AI’s ability to model and reason within complex realistic environments. In our work, we aim to connect fundamental theory and novel algorithms with high-impact applications, particularly in the scientific domain. Current key words: world models, foundational models, multimodal learning, learning theory. |
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Recruitment
Various positions (Postdoctoral Researchers/Full-time Ph.D./Master Program/Research Engineers/Assistants) are avaliable. Base: Hefei or Shanghai.
Please email me if you are interested in above topics.
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Recent News
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