Chenhui Zhao 赵晨辉 PhD Candidate University of Michigan, Ann Arbor, MI. Email: chuizhao@umich.edu

I am a PhD candidate in Computer Science and Engineering at the University of Michigan (UofM). I am advised by Dr. Todd Hollon and Dr. Honglak Lee. My current research is about language-image pre-training, visual instruction tuning, and one-shot segmentation for medical imaging. I hold an M.S. in Electronic and Computer Engineering from the UofM, during which I was advised by Dr. Liyue Shen, and a B.S. in Electronic Engineering from Nanjing University.

Publications

CVPR 2026

Learning complete and explainable visual representations from itemized text supervision Yiwei Lyu, Chenhui Zhao, Soumyanil Banerjee, Shixuan Liu, Akshay Rao, Akhil Kondepudi, Honglak Lee, Todd Hollon [paper] [code]

preprint

Health system learning achieves generalist neuroimaging models Akhil Kondepudi, Akshay Rao, Chenhui Zhao, Yiwei Lyu, Samir Harake, Soumyanil Banerjee, Rushikesh Joshi, Anna-Katharina Meissner, Renly Hou, Cheng Jiang, Asadur Chowdury, Ashok Srinivasan, Brian Athey, Vikas Gulani, Aditya Pandey, Honglak Lee, Todd Hollon [paper] [code]

TMLR 2026

Towards Scalable Language-Image Pre-training for 3D Medical Imaging Chenhui Zhao, Yiwei Lyu, Asadur Chowdury, Edward Harake, Akhil Kondepudi, Akshay Rao, Xinhai Hou, Honglak Lee, Todd Hollon [paper] [code] [ablation blog]

Nature Biomedical Engineering

Learning neuroimaging models from health system-scale data Yiwei Lyu, Samir Harake, Asadur Chowdury, Soumyanil Banerjee, Rachel Gologorsky, Shixuan Liu, Anna-Katharina Meissner, Akshay Rao, Chenhui Zhao, Akhil Kondepudi, Cheng Jiang, Xinhai Hou, Rushikesh S Joshi, Volker Neuschmelting, Ashok Srinivasan, Dawn Kleindorfer, Brian Athey, Vikas Gulani, Aditya Pandey, Honglak Lee, Todd Hollon [paper] [code]

TMLR 2025

Part-aware Prompted Segment Anything Model for Adaptive Segmentation Chenhui Zhao and Liyue Shen [paper] [code]

Tech Report

Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis Chenhui Zhao, Yan Jiang, Todd Hollon [paper] [code]

WCNC 2023

Self-supervised Multi-Modal Video Forgery Attack Detection Chenhui Zhao, Xiang Li, Rabih Younes [paper] [code]