Cliff Wong
Microsoft (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Biomedical Text Mining and Ontologies, Cancer Genomics and Diagnostics, Artificial Intelligence in Healthcare and Education, Natural Language Processing Techniques
Most-Cited Works
- → A whole-slide foundation model for digital pathology from real-world data(2024)520 cited
- → Document-Level N-ary Relation Extraction with Multiscale Representation Learning(2019)155 cited
- → A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs(2024)145 cited
- → Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology(2023)26 cited
- → A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings(2025)21 cited
- → Foundation Models for Biomedical Image Segmentation: A Survey(2024)13 cited
- → Document-Level $N$-ary Relation Extraction with Multiscale Representation Learning(2019)13 cited
- → LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day(2023)12 cited
- → Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature(2021)12 cited
- → Modular Self-Supervision for Document-Level Relation Extraction(2021)10 cited