STPath: A Generative Foundation Model for Integrating Spatial Transcriptomics and Whole Slide Images
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching (ICML 2025 Spotlight)
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer (NeurIPS 2024)
SurfPro: Functional Protein Design Based on Continuous Surface (ICML 2024)
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications (IEEE Transactions on Pattern Analysis and Machine Intelligence 2024)
Learning to Group Auxiliary Datasets for Molecule (NeurIPS 2023)
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs (KDD 2023)
GRAND+: Scalable Graph Random Neural Networks (WWW 2022)
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems (KDD 2021)
Learning Intents behind Interactions with Knowledge Graph for Recommendation (WWW 2021)
Research Experience
Worked at Tsinghua University and National University of Singapore.
Education
Third-year Ph.D. student at Yale University, advised by Prof. Rex Ying. Previously worked with Prof. Jie Tang from Tsinghua University, and Prof. Tat-Seng Chua from National University of Singapore.
Background
Research interests: computational biology, including equivariant macromolecule modeling and multi-modality biological representation learning; the application of large language models (LLMs) in the healthcare domain.