publications | Zijun Cui (崔梓筠)

2024

NeurIPS

Sample-efficient Simulation-based Inference for Urban Travel Demand Calibration

Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, and Yan Liu

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

Bib

@article{Griesemer2024NeurIPS,
  title = {Sample-efficient Simulation-based Inference for Urban Travel Demand Calibration},
  author = {Griesemer, Sam and Cao, Defu and Cui, Zijun and Osorio, Carolina and Liu, Yan},
  journal = {The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2024},
}

npj DM

Capturing Relationships between Suturing Sub-skills to Improve Automatic Suturing Assessment

Zijun Cui, Runzhuo Ma, Cherine H. Yang, Anand Malpani, Timothy N. Chu, Ahmed Ghazi, John W. Davis, Brian J. Miles, Clayton Lau, Yan Liu, and Andrew J. Hung

npj Digital Medicine, 2024

Bib HTML PDF

@article{cui2024AUA,
  title = {Capturing Relationships between Suturing Sub-skills to Improve Automatic Suturing Assessment},
  author = {Cui, Zijun and Ma, Runzhuo and Yang, Cherine H. and Malpani, Anand and Chu, Timothy N. and Ghazi, Ahmed and Davis, John W. and Miles, Brian J. and Lau, Clayton and Liu, Yan and Hung, Andrew J.},
  journal = {npj Digital Medicine},
  year = {2024},
}

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},
}

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 PDF

@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},
}

AUA

Inter-dependencies between Suturing Skills to Improve Automatic Surgical Skill Assessment

Zijun Cui, Runzhuo Ma, Cherine H. Yang, Anand Malpani, Timothy N. Chu, Eman Dadashian, Ahmed Ghazi, John W. Davis, Brian J. Miles, Clayton Lau, Yan Liu, and Andrew J. Hung

Annual Meeting of the American Urological Association (AUA), 2024

Bib

@article{cui2024AUB,
  title = {Inter-dependencies between Suturing Skills to Improve Automatic Surgical Skill Assessment},
  author = {Cui, Zijun and Ma, Runzhuo and Yang, Cherine H. and Malpani, Anand and Chu, Timothy N. and Dadashian, Eman and Ghazi, Ahmed and Davis, John W. and Miles, Brian J. and Lau, Clayton and Liu, Yan and Hung, Andrew J.},
  journal = {Annual Meeting of the American Urological Association (AUA)},
  year = {2024},
}

2023

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},
}

MICCAI

Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills

Loc Trinh, Tim Chu, Zijun Cui, Anand Malpani, Cherine Yang, Istabraq Dalieh, Alvin Hui, Oscar Gomez, Yan Liu, and Andrew Hung

In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023

Bib PDF

@inproceedings{trinh2023self,
  title = {Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills},
  author = {Trinh, Loc and Chu, Tim and Cui, Zijun and Malpani, Anand and Yang, Cherine and Dalieh, Istabraq and Hui, Alvin and Gomez, Oscar and Liu, Yan and Hung, Andrew},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages = {708--717},
  year = {2023},
  organization = {Springer},
}

AMIA

Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning

Emily Nguyen, Zijun Cui, Georgia Kokaraki, Joseph Carlson, and Yan Liu

American Medical Informatics Association (AMIA), 2023

Bib

@article{emily2023amia,
  title = {Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning},
  author = {Nguyen, Emily and Cui, Zijun and Kokaraki, Georgia and Carlson, Joseph and Liu, Yan},
  journal = {American Medical Informatics Association (AMIA)},
  year = {2023},
}

arXiv

Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model

Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, and Yan Liu

arXiv preprint arXiv:2304.07633, 2023

Bib

@article{zhang2023detecting,
  title = {Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model},
  author = {Zhang, Yizhou and Trinh, Loc and Cao, Defu and Cui, Zijun and Liu, Yan},
  journal = {arXiv preprint arXiv:2304.07633},
  year = {2023},
}

2022

UAI

Variational message passing neural network for Maximum-A-Posteriori (MAP) inference

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

In Uncertainty in Artificial Intelligence, 2022

Bib PDF Poster

@inproceedings{cui2022variational,
  title = {Variational message passing neural network for Maximum-A-Posteriori (MAP) inference},
  author = {Cui, Zijun and Wang, Hanjing and Gao, Tian and Talamadupula, Kartik and Ji, Qiang},
  booktitle = {Uncertainty in Artificial Intelligence},
  pages = {464--474},
  year = {2022},
  organization = {PMLR},
}

ECCV

AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning

Chenyi Kuang, Zijun Cui, Jeffrey O Kephart, and Qiang Ji

In ECCV 2022: 17th European Conference, 2022

Bib HTML

@inproceedings{kuang2022aware,
  title = {AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning},
  author = {Kuang, Chenyi and Cui, Zijun and Kephart, Jeffrey O and Ji, Qiang},
  booktitle = {ECCV 2022: 17th European Conference},
  pages = {1--18},
  year = {2022},
  organization = {Springer}
}

IJCAI

Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data

Zijun Cui, Naiyu Yin, Yuru Wang, and Qiang Ji

In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22, Jul 2022

Main Track

Bib PDF

@inproceedings{ijcai2022p672,
  title = {Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data},
  author = {Cui, Zijun and Yin, Naiyu and Wang, Yuru and Ji, Qiang},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
                 Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor = {Raedt, Lud De},
  pages = {4850--4856},
  year = {2022},
  month = jul,
  note = {Main Track},
  doi = {10.24963/ijcai.2022/672},
  url = {https://doi.org/10.24963/ijcai.2022/672},
}

2021

AAAI

Type-augmented relation prediction in knowledge graphs

Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, and Qiang Ji

In Proceedings of the AAAI Conference on Artificial Intelligence, Jul 2021

Bib PDF Supp Poster Slides

@inproceedings{cui2021type,
  title = {Type-augmented relation prediction in knowledge graphs},
  author = {Cui, Zijun and Kapanipathi, Pavan and Talamadupula, Kartik and Gao, Tian and Ji, Qiang},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {35},
  number = {8},
  pages = {7151--7159},
  year = {2021},
}

CVPR

Hybrid message passing with performance-driven structures for facial action unit detection

Tengfei Song, Zijun Cui, Wenming Zheng, and Qiang Ji

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jul 2021

Bib PDF

@inproceedings{song2021hybrid,
  title = {Hybrid message passing with performance-driven structures for facial action unit detection},
  author = {Song, Tengfei and Cui, Zijun and Zheng, Wenming and Ji, Qiang},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {6267--6276},
  year = {2021},
}

CVPR

Dynamic probabilistic graph convolution for facial action unit intensity estimation

Tengfei Song, Zijun Cui, Yuru Wang, Wenming Zheng, and Qiang Ji

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jul 2021

Bib PDF

@inproceedings{song2021dynamic,
  title = {Dynamic probabilistic graph convolution for facial action unit intensity estimation},
  author = {Song, Tengfei and Cui, Zijun and Wang, Yuru and Zheng, Wenming and Ji, Qiang},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {4845--4854},
  year = {2021},
}

2020

NeurIPS

Knowledge augmented deep neural networks for joint facial expression and action unit recognition

Zijun Cui, Tengfei Song, Yuru Wang, and Qiang Ji

Advances in Neural Information Processing Systems, Jul 2020

Bib PDF Supp Poster Slides

@article{cui2020knowledge,
  title = {Knowledge augmented deep neural networks for joint facial expression and action unit recognition},
  author = {Cui, Zijun and Song, Tengfei and Wang, Yuru and Ji, Qiang},
  journal = {Advances in Neural Information Processing Systems},
  volume = {33},
  pages = {14338--14349},
  year = {2020},
}

AAAI

Label error correction and generation through label relationships

Zijun Cui, Yong Zhang, and Qiang Ji

In Proceedings of the AAAI Conference on Artificial Intelligence, Jul 2020

Bib PDF Poster

@inproceedings{cui2020label,
  title = {Label error correction and generation through label relationships},
  author = {Cui, Zijun and Zhang, Yong and Ji, Qiang},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {34},
  number = {04},
  pages = {3693--3700},
  year = {2020},
}

NeurIPS-w

Blendshape-augmented facial action units detection

Zijun Cui, and Qiang Ji

In NeurIPS 2020 Workshop on Differentiable Vision, Graphics, and Physics in Machine Learning, Jul 2020

Bib PDF

@inproceedings{cui2020blendshape,
  title = {Blendshape-augmented facial action units detection},
  author = {Cui, Zijun and Ji, Qiang},
  booktitle = {NeurIPS 2020 Workshop on Differentiable Vision, Graphics, and Physics in Machine Learning},
  year = {2020},
}