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https://github.com/cm-bf/cm-bf


https://github.com/cm-bf/cm-bf

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README

        

### Howdy friends! 👋

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!

#### Recent works
- ICLR 2024: [Active Test-Time Adaptation: Theoretical Analyses and An Algorithm](https://github.com/divelab/ATTA) [**New!** 🎉]
- TPAMI: [FlowX: Towards Explainable Graph Neural Networks via Message Flows](https://github.com/CM-BF/FlowX) [**New!** 🎉]
- NeurIPS 2023: [Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization](https://github.com/divelab/LECI) [**New!** 🎉]
- NeurIPS 2022: [Graph Out-Of-Distribution benchmark](https://github.com/divelab/GOOD)

🏠[Personal Website](https://cm-bf.github.io)
|🎡[Twitter](https://twitter.com/ShuruiGui)
|📲[LinkedIn](https://www.linkedin.com/in/shurui-gui-92b751192/)
|🔭[Google Scholar](https://scholar.google.com/citations?user=U4AjtOkAAAAJ&hl=en)