I'm glad to e-meet you here. My research interests span from computer vision, graph neural networks, to causality in machine learning and domain generalization. Hope you find my works interesting. I am enthusiastically open to collaboration and actively seeking internship opportunities. If you're interested in working together or have opportunities available, please feel free to reach out to me!
- ICML 2025: Discovering Physics Laws of Dynamical Systems via Invariant Function Learning [New! 🎉]
- ICLR 2024: Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
- TPAMI 2024: FlowX: Towards Explainable Graph Neural Networks via Message Flows
- NeurIPS 2023: Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
- NeurIPS 2022: Graph Out-Of-Distribution benchmark