Yuexi Du

Ph.D. Candidate in Biomedical Engineering at Yale University

Multimodal learning, computer vision, and medical image analysis.

About

I am a fourth-year Ph.D. candidate in Biomedical Engineering at Yale University, advised by Prof. Nicha C. Dvornek. I also collaborate with Prof. John Onofrey.

I am currently a Ph.D. Software Engineering Intern with the GenMedia Group at Google Cloud, where I work on MLLM autorater development for video generation. Previously, I completed research internships at Microsoft Research Asia and Tencent AI Lab.

I received a bachelor's degree in Computer Science from the University of Michigan, where I worked with Prof. Andrew Owens, and a bachelor's degree in Electrical and Computer Engineering from Shanghai Jiao Tong University. My research focuses on questions with clear real-world and clinical relevance.

News

20264 updates

Joined Google Cloud's GenMedia Group as a Ph.D. Software Engineering Intern, working on MLLM autorater development.

MammoFlow was accepted to MICCAI 2026.

CARE was accepted to ICLR 2026.

Two papers were accepted to IEEE ISBI 2026.

20255 updates

GLAM was accepted to MICCAI 2025.

Joined Microsoft Research Asia for a summer research internship with Dr. Jinglu Wang.

MaMA received Best Oral Paper Runner-up (ranked second) at IPMI 2025.

MaMA was accepted to IPMI 2025 for an oral presentation.

Two papers on rotation-equivariant convolution kernels were accepted to IEEE ISBI 2025.

20245 updates

Passed the Yale area exam and advanced to Ph.D. candidacy.

Received $800 in Yale University Conference Travel Funding.

Won first place in the MICCAI 2024 CXR-LT Challenge long-tail classification task; the team was also named the overall best-performing team and received a $900 prize.

CLEFT was accepted to MICCAI 2024 for an in-person presentation in Marrakesh.

SIFT-DBT and another paper were accepted to IEEE ISBI 2024.

20234 updates

Joined Prof. Nicha C. Dvornek's group as a Ph.D. student to work on digital breast tomosynthesis and breast cancer.

Conditional Generation of Audio from Video via Foley Analogies was accepted to CVPR 2023.

RetCCL was published in Medical Image Analysis (impact factor 10.9 at the time of the update).

Began a rotation in Prof. John Onofrey's lab to study rotation-invariant feature extraction.

20221 update

Joined Yale University as a Ph.D. student in Biomedical Engineering.

Selected Publications

MammoFlow: Multiview Mammogram Synthesis with Anatomically Consistent Flow Matching

MICCAI 2026

Yuexi Du, Leya Barrientos, Laura Sheiman, John Lewin, Hemant D. Tagare, Nicha C. Dvornek

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

ICLR 2026

Yuexi Du, Jinglu Wang, Shujie Liu, Nicha C. Dvornek, Yan Lu

GLAM: Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

MICCAI 2025

Yuexi Du, Lihui Chen, Nicha C. Dvornek

MaMA: Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography

IPMI 2025 · Oral, Best Oral Paper Runner-up

Yuexi Du, John Onofrey, Nicha C. Dvornek

SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification

IEEE ISBI 2025

Yuexi Du, Jiazhen Zhang, Tal Zeevi, Nicha C. Dvornek, John Onofrey

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

MICCAI 2024

Yuexi Du, Brian Chang, Nicha C. Dvornek

SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification

IEEE ISBI 2024

Yuexi Du, Regina J. Hooley, John Lewin, Nicha C. Dvornek

Conditional Generation of Audio from Video via Foley Analogies

CVPR 2023

Yuexi Du, Ziyang Chen, Justin Salamon, Bryan Russell, Andrew Owens

RetCCL: Clustering-guided Contrastive Learning for Whole-slide Image Retrieval

Medical Image Analysis

Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han

Selected Projects

Diffusion MRI denoising project overview

Controlled and Self-supervised Diffusion MRI Denoising via Generative Diffusion

CPSC 586 Probabilistic Machine Learning Final Project

Yuexi Du

COLOR-VAE image colorization project

COLOR-VAE: Generative Colorization with Variational Auto-encoder

EECS 442 Computer Vision Final Project · Ranked #1

Yuexi Du, Muchen Xu, Yuang Zhang, Zhanhui Zhou, Chenshu Zhu

Experience

Google

Google Cloud, GenMedia Group

Ph.D. Software Engineering Intern

MLLM autorater development for video generation. Mentored by Dr. Yan Xu.

Microsoft

Microsoft Research Asia, Media Computing Group

Research Intern

Evidence-grounded medical VQA agents. Mentored by Dr. Jinglu Wang.

Tencent AI Lab

Tencent AI Lab, AI Healthcare Group

Algorithm R&D Intern

Whole-slide image representation learning and retrieval. Mentored by Dr. Xiao Han and Sen Yang.

Teaching

ENAS 912

Biomedical Image Processing and Analysis

Teaching Fellow, Yale University

EECS 442

Computer Vision

Instructor Aide, University of Michigan

VR 246

Introduction to Comics & Visual Art

Teaching Assistant, SJTU UMJI

VE 101

Introduction to Computer & Programming

Teaching Assistant, SJTU UMJI

Academic Service

Reviewer for conferences and journals including CVPR, ICCV, ECCV, NeurIPS, AAAI, MICCAI, ISBI, ICLR, AISTATS, IJCAI, ICML, IEEE Transactions on Multimedia, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Medical Image Analysis.

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