Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
Chenhe Du, Xuanyu Tian, Qing Wu, Muyu Liu, Jingyi Yu, Hongjiang Wei, Yuyao Zhang✉
ICML 2026
About
I am Chenhe Du (杜晨赫 in Chinese), a Ph.D. student in the 
SMILE☺️-LAB at 
ShanghaiTech University, advised by Prof. Yuyao Zhang.
Before that, I received my B.E. in Computer Science from 
Shandong University in 2022.
My research interests lie broadly in imaging inverse problems and Generative Models. I am currently working on:
- Computational imaging, especially CT and MRI inverse problems
- Generative models, particularly diffusion models
- Video and 3D generation
- MLLMs, VLMs, and their applications in medical imaging
If you are interested in my work or would like to discuss potential collaboration or just have a chat, please feel free to reach out to me via email or WeChat.
For more details, please see my detailed CV.
News
2026-05
I joined Ant Group's Medical and Health AI Lab as a Research Intern 🧐
2026-05
One paper received early acceptance at MICCAI 2026 (Top 9%)! 🎉
2026-05
Two papers were accepted to ICML 2026! 🎉
2026-01
One paper was accepted to ICLR 2026! 🎉
2025-05
I attended ICLR 2025 in Singapore . It was a wonderful trip! 😊
2025-01
One paper was accepted to ICLR 2025 (Spotlight, Top 5.1%)! 🎉
2024-10
I attended MICCAI 2024 in Marrakech, Morocco . It was an unforgettable trip! 😊
2024-05
One paper received early acceptance at MICCAI 2024 (Top 11%)! 🎉
2022-09
I joined the SMILE Lab at ShanghaiTech University.
Selected Publications
View AllImproving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity
Chenhe Du, Qing Wu, Xuanyu Tian, Jingyi Yu, Hongjiang Wei, Yuyao Zhang✉
ICLR 2026
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
Qing Wu*, Chenhe Du*, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei✉
ICLR 2025
Spotlight (Top 5.1%)Zero-Shot Low-Field MRI Enhancement via Denoising Diffusion Driven Neural Representation
Xiyue Lin*, Chenhe Du*, Qing Wu, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei✉
MICCAI 2024
Early Acceptance (Top 11%)DPER: Diffusion prior driven neural representation for limited angle and sparse view CT reconstruction
Chenhe Du, Xiyue Lin, Qing Wu, Xuanyu Tian, Ying Su, Zhe Luo, Yang Chen, Hongjiang Wei, S Kevin Zhou, Jingyi Yu, Yuyao Zhang✉
arXiv preprint arXiv:2404.17890
Experience
, Research Intern, Ant Group
At the Medical and Health AI Lab led by Dr. Le Lu, developing multimodal foundation models for medical imaging. The work is grounded in imaging physics and focuses on richer, fine-grained, vision-centric radiological representations.