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Hi there 👋

I am a PhD student in Stanford CS, starting from 2022 fall.

🌱 I'm currently working on large language models (LLMs), LLM agents, retrieval, and multimodal models.

Shirley Wu's Projects

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Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

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Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)

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Official Code of "Efficient Automatic Graph Learning via Design Relations" (GLFrontiers Workshop NeurIPS 2022)

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Early release of the official implementation for "GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts"

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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attribution methods for GNNs

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