- 2025: One paper (co-author) accepted by The Innovation Informatics
- 2025: One paper (co-author) accepted by Nature Biomedical Engineering (NBME)
- 2025: One paper accepted by Nature Communications
- 2025: Announced the latest work, a pathology benchmark, PathBench
- 2025: Released the weights and code for mSTAR
- 2025: One paper accepted by CVPR 2025
- 2025: One paper (co-author) accepted by IEEE Transactions on Medical Imaging (TMI)
- 2024: Announced the latest work mSTAR, a multimodal-enhanced whole slide pathology foundation model
- 2024: One paper (co-author) accepted by MICCAI 2024
- 2024: One paper accepted by TCSVT
- 2024: One paper accepted by ICLR 2024 as Spotlight paper
- 2023: One paper accepted by ICCV 2023
- 2022: Started Ph.D. at SMARTLab@HKUST
- 2022: Received master's degree at SCUT
- 2021: Started internship at Tencent AI Lab
- 2020: Honored with National Scholarship
Research Experience
- Intern Researcher on Computer Vision, Computational Cervical Cytology (June 2021 - September 2021), Tencent AI Lab, Shenzhen, China
Education
- Ph.D. Student (2022 Fall - present), Computer Science and Engineering, HKUST, supervised by Prof. Hao CHEN
- Master in Computer Science and Technology (2019-2022), South China University of Technology (SCUT)
- Bachelor in Computer Science and Technology (2015-2019), South China University of Technology (SCUT)
Background
Research interests include Foundation Models, Computational Pathology, Multimodal Learning (e.g., Fusion, Missing Modality, Pretraining), Survival Analysis, Breast Cancer, Spatial Transcriptomics, Optimal Transport, and Domain Adaptation/Generalization.