I am an assistant professor in the Department of Computer Science and Engineering at Michigan 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.

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