2026
Aligning Language Models with Selective Prediction
Gaoxiang Luo, Yifan Wu , Sinian Zhang, Aryan Deshwal, Ju Sun
ICML 2026 Workshop on Agents in the Wild: Safety, Security, and Beyond
Saving Foundation Flow-Matching Priors for Inverse Problems
Yuxiang Wan, Ryan Devera, Wenjie Zhang, Ju Sun
ICML 2026
Flow Matching for Multimodal Distributions
Gaoxiang Luo*, Frank Cole*, Sihang Zhang, Yuxiang Wan, Yulong Lu, Ju Sun
CVPR 2026
2025
FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
Yuxiang Wan, Ryan Devera, Wenjie Zhang, Ju Sun
International Workshop on CAMSAP 2025
A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior
Hengyue Liang, Taihui Li, Ju Sun
Transactions on Machine Learning Research (TMLR)
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
Hengkang Wang, Yang Liu, Huidong Liu, Chien-Chih Wang, Yanhui Guo, Hongdong Li, Bryan Wang, Ju Sun
AAAI 2026
Automated Ventricular Segmentation in Pediatric Hydrocephalus: How Close Are We?
Birra R. Taha, Gaoxiang Luo, Anant Naik, Luke Sabal, Ju Sun, Robert McGovern, Carolina Sandoval-Garcia, Daniel J. Guillaume
Journal of Neurosurgery: Pediatrics
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
Interpretable deep learning methods for multiview learning
Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo
BMC Bioinformatics
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
Selective Classification Under Distribution Shifts
Hengyue Liang, Le Peng, Ju Sun
Transactions on Machine Learning Research (TMLR)
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
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun
International Journal of Computer Vision (IJCV)
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
Federated Learning with Convex Global and Local Constraints
Chuan He, Le Peng, Ju Sun
Transactions on Machine Learning Research (TMLR)
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
2023
Deep Random Projector: Accelerated Deep Image Prior
Taihui Li, Hengkang Wang, Zhong Zhuang, Ju Sun
CVPR 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)
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
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)
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