Ming Y. Lu

Joined

October 2022

Names

Ming Y. Lu (Preferred)

Max Lu

Emails

****@mit.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

PhD student

EECS, Massachusetts Institute of Technology (mit.edu)

2021 – 2025

Undergrad student

Johns Hopkins University (jh.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Faisal Mahmood

2021 – Present

Expertise

Computer Vision

Present

Weakly-supervised Learning

Present

Computational Pathology

Present

Visual language representation learning

Present

Publications

Do Multiple Instance Learning Models Transfer?
Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood
- ICML 2025 spotlightposter
- Readers: Everyone
Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, Drew FK Williamson, Guillaume Jaume, Andrew H. Song, Bowen Chen, Andrew Zhang, Muhammad Shaban, Lukas Oldenburg, Luca Leon Weishaupt, Anurag Jayant Vaidya, Long Phi Le, Sharifa Sahai, Faisal Mahmood
- Nature Medicine 2024
- Readers: Everyone
A visual-language foundation model for computational pathology
Ming Y. Lu, Bowen Chen, Drew FK Williamson, Richard J. Chen, Tong Ding, Guillaume Jaume, Long Phi Le, Anil Parwani, Andrew Zhang, Faisal Mahmood
- Nature Medicine 2024
- Readers: Everyone
A multimodal generative AI copilot for human pathology
Ming Y. Lu, Bowen Chen, Drew FK Williamson, Richard J. Chen, Chengkuan Chen, Tong Ding, Long Phi Le, Anil Parwani, Luca Leon Weishaupt, Faisal Mahmood
- Nature 2024
- Readers: Everyone
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro Pérez, Sophia J Wagner, Anurag Jayant Vaidya, Richard J. Chen, Drew FK Williamson, Ahrong Kim, Faisal Mahmood
- NeurIPS 2024 Track Datasets and Benchmarks Spotlight
- Readers: Everyone
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood
- CoRR 2024
- Readers: Everyone
Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood
- CoRR 2024
- Readers: Everyone
A Foundational Multimodal Vision Language AI Assistant for Human Pathology
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Kenji Ikamura, Georg Gerber, Ivy Liang, Long Phi Le, Tong Ding, Anil V. Parwani, Faisal Mahmood
- CoRR 2023
- Readers: Everyone
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
- CVPR 2023
- Readers: Everyone
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood
- Published: 01 Jan 2023, Last Modified: 22 Sept 2023
- CoRR 2023
- Readers: Everyone

View all 32 publications

Co-Authors

View all 86 co-authors