Publications

2024

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun

NeurIPS 2024

PaperCode

 

Interpretable deep learning methods for multiview learning

Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo

BMC Bioinformatics

Paper

 

An in-depth evaluation of federated learning on biomedical natural language processing for information extraction

Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang

npj Digital Medicine

PaperCode

 

Selective Classification Under Distribution Shifts

Hengyue Liang, Le Peng, Ju Sun

Transactions on Machine Learning Research (TMLR)

PaperCode

 

 

 

What is Wrong with End-to-End Learning for Phase Retrieval?

Wenjie Zhang, Yuxiang Wan, Zhong Zhuang, Ju Sun

IS and T International Symposium on Electronic Imaging Science and Technology

Paper

 

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise

Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun

International Journal of Computer Vision (IJCV)

Paper

Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques

Christine Conelea, Hengyue Liang, Megan DuBois, Brittany Raab, Mia Kellman, Brianna Wellen, Suma Jacob, Sonya Wang, Ju Sun, Kelvin Lim

Paper

 

Federated Learning with Convex Global and Local Constraints

Chuan He, Le Peng, Ju Sun

Transactions on Machine Learning Research (TMLR)

PaperCode

 

Unraveling the multiple chronic conditions patterns among people with Alzheimer's disease and related dementia: A machine learning approach to incorporate synergistic interactions

Pui Ying Yew, Ryan Devera, Yue Liang, Razan A. El Khalifa, Ju Sun, Nai-Ching Chi, Ying-Chyi Chou, Peter J. Tonellato, Chih-Lin Chi

Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association

Paper

2023

Early Stopping for Deep Image Prior

Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun

Transactions on Machine Learning Research (TMLR)

PaperCode

 

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective

Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang

Statistics and Its Interface

Paper

 

Evaluation of Federated Learning Variations for COVID-19 Diagnosis using Chest Radiographs from 42 US and European Hospitals

Le Peng, Gaoxiang Luo, Andrew Walker, et al.

Journal of the American Medical Informatics Association (JAMIA)

Paper

 

Phase Retrieval Using Double Deep Image Priors

Zhuang Zhong, David Yang, Felix Hofmann, David Barmherzig, Ju Sun

NeurIPS’23 Workshop on Deep Learning and Inverse Problems

PaperSlide

 

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