Ming Y. Lu

4 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

CVPR (1) ICCV (1) ICML (1) NeurIPS (1)

Top co-authors

Richard J. Chen (4) Faisal Mahmood (4) Andrew H. Song (2) Drew F.K. Williamson (2) Tong Ding (2) Paul Doucet (1) Maha Shady (1) Bowen Chen (1) Long Phi Le (1) Drew F. K. Williamson (1)

Research topics

Deep Learning (3) Machine Learning (3) Artificial Intelligence (2) Computer Vision (2) Healthcare & Medicine (2) Clinical (2) Core AI (2) Domain-Specific (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Application Areas (1) Architectures (1) Research (1) Techniques (1)

Keywords

multiple instance learning (3) whole slide image (2) histopathology image (2) medical imaging (2) foundation model (1) pre-trained model (1) zero-shot transfer (1) multimodal representation (1) spatial transcriptomics (1) histology image (1) survival prediction (1) co-attention mechanism (1) whole slide imaging (1) genomic feature (1) pathology analysis (1) visual-language pretraining (1) histology image analysis (1) biomarker exploration (1) pan-cancer datasets (1) patient-level representations (1)

Papers

Do Multiple Instance Learning Models Transfer? ICML 2025 HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis NeurIPS 2024 Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images CVPR 2023 Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images ICCV 2021