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 keywords: multimodal AI, world models, foundational models, learning theory.

Various positions (Postdoctoral Researchers/Full-time Ph.D./Master Program/Research Engineers/Assistants) are available. Base: Shanghai or Hefei. Please email me if you are interested in the above topics.

• For undergraduates, you may read this guideline to prepare yourself with our group.

One 2027 bachelor-to-PhD position is open in AI for superconducting materials, majoring in condensed matter and superconducting functional materials. Highly motivated undergraduates with a solid background in superconducting material research are welcome to contact me directly for a full direct-admission PhD inquiry.