Zijun Cui (崔梓筠)

University of Southern California

Los Angeles, California, US

Twitter

GitHub

I am currently a postdoc at Melady Lab at the University of Southern California with Dr. Yan Liu. I graduated from Rensselaer Polytechnic Institute in 2022. I was a research assistant at the Intelligent Systems Lab with Dr. Qiang Ji. I was selected as a research scholar for the RPI-IBM AIRC program and worked at IBM Research during my PhD study.

I am joining the Department of Computer Science and Engineering at Michican State University as an Assistant Professor in Fall, 2024. I have fully funded RA positions and I am looking for self-motivated students. Contact me if you are interested.

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

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
Feb 26, 2024	Two papers have been accepted for publication at AISTATS 2024 and CVPR 2024

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},
}

AISTATS

Theory-guided Message Passing Neural Network for Probabilistic Inference

Zijun Cui, Hanjing Wang, Tian Gao, Kartik Kalamadupula, and Qiang Ji

Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

Bib

@article{cui2024AISTATS,
  title = {Theory-guided Message Passing Neural Network for Probabilistic Inference},
  author = {Cui, Zijun and Wang, Hanjing and Gao, Tian and Kalamadupula, Kartik and Ji, Qiang},
  journal = {Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS)},
  year = {2024},
}