Zijun Cui (崔梓筠)

Twitter

GitHub

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

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

Bib PDF

@inproceedings{cui2023biomechanics,
  title = {Biomechanics-guided Facial Action Unit Detection through Force Modeling},
  author = {Cui, Zijun and Kuang, Chenyi and Gao, Tian and Talamadupula, Kartik and Ji, Qiang},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {8694--8703},
  year = {2023},
}

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

Bib PDF Supp

@article{10359123,
  author = {Cui, Zijun and Gao, Tian and Talamadupula, Kartik and Ji, Qiang},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  title = {Knowledge-Augmented Deep Learning and Its Applications: A Survey},
  year = {2023},
  pages = {1-21},
  doi = {10.1109/TNNLS.2023.3338619},
}

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

Bib PDF

@article{zhang2024CVPR,
  title = {PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos},
  author = {Zhang, Yufei and Kephart, Jeffrey O. and Cui, Zijun and Ji, Qiang},
  journal = {Computer Vision and Pattern Recognition Conference (CVPR)},
  year = {2024},
}