Chenhe Du

Chenhe Du

Ph.D. Student

ShanghaiTech University

Research Interests

Computational Imaging
CT / MRI Reconstruction
Generative Models

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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

Two papers were accepted at ICML 2026 ! 🎉

2026-01

One paper was accepted at ICLR 2026 ! 🎉

2025-05

I attended ICLR 2025 at Singapore . It was a wonderful trip! 😊

2025-01

One paper was accepted at ICLR 2025 (Spotlight, Top 5.1%)! 🎉

2024-10

I attended MICCAI 2024 at Marrakech in Morocco . A Legendary Journey! 😊

2024-05

One paper was accepted at MICCAI 2024 (early accepted, Top 11%)! 🎉

2022-09

Joined the SMILE Lab at ShanghaiTech University

Selected Publications

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Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction

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
Improving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity

Improving 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

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
Zero-Shot Low-Field MRI Enhancement via Denoising Diffusion Driven Neural Representation

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
DPER: Diffusion prior driven neural representation for limited angle and sparse view CT reconstruction

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