I am an assistant professor in the Department of Computer Science and Engineering at Michican State University, starting in Fall 2024. Prior to this, I was a postdoctoral researcher at University of Southern California. I obtained my doctoral degree from Rensselaer Polytechnic Institute.

I have fully funded RA positions and I am looking for self-motivated students. Contact me if you are interested. Details can be found here.

My Lab

My Lab Logo

My lab focuses on integrating AI with domain knowledge to tackle complex real-world challenges.

Research Interests

  • Knowledge-augmented Deep Learning, including Physics-informed Deep Learning and Neural Symbolic Integration
  • Probabilistic Graphical Models
  • Computer Vision
  • AI for Health

Education

  • Ph.D. in Computer Engineering, Rensselaer Polytechnic Institute
  • M.S. in Engineering, Brown University
  • B.S. in Physics, University of Science and Technology of China (USTC)

News

Sep 25, 2024 One paper on Sample-efficient Simulation-based Inference has been accepted for publication at NeurIPS 2024
Apr 8, 2024 Our paper “Capturing Relationships between Suturing Sub-skills to Improve Automatic Suturing Assessment” is accepted to npj Digital Medicine.
Apr 6, 2024 I gave a talk at the Women in Data Science (WiDS) Youth event

Selected Papers

  1. CVPR
    Biomechanics-guided Facial Action Unit Detection through Force Modeling
    Zijun Cui, Chenyi Kuang, Tian Gao, Kartik Talamadupula, and Qiang Ji
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  2. IEEE TNNLS
    Knowledge-Augmented Deep Learning and Its Applications: A Survey
    Zijun Cui, Tian Gao, Kartik Talamadupula, and Qiang Ji
    IEEE Transactions on Neural Networks and Learning Systems, 2023
  3. CVPR
    PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
    Yufei Zhang, Jeffrey O. Kephart, Zijun Cui, and Qiang Ji
    Computer Vision and Pattern Recognition Conference (CVPR), 2024