Yinhan He

Venues

Frequent coauthors

Papers

1. MolEdit: Knowledge Editing for Multimodal Molecule Language Models
   WSDM 2026 ·

   Zhenyu Lei

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2. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
   EMNLP 2025 ·

   Zaiyi Zheng

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3. Demystify Epidemic Containment in Directed Networks: Theory and Algorithms
   WSDM 2025 · Yinhan He
4. Edge Prompt Tuning for Graph Neural Networks
   ICLR 2025 ·

   Xingbo Fu

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5. Energy-Based Models for Predicting Mutational Effects on Proteins
   SIGKDD 2025 ·

   Patrick Soga

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6. Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
   ICLR 2025 ·

   Yushun Dong

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7. Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
   NeurIPS 2025 · Yinhan He
8. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
   EMNLP 2025 ·

   Yaochen Zhu

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9. Scaling Epidemic Inference on Contact Networks: Theory and Algorithms
   NeurIPS 2025 ·

   Guanghui Min

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10. SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens
    NeurIPS 2025 · Yinhan He
11. Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
    ICML 2025 · Yinhan He
12. Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
    AAAI 2025 ·

    Xingbo Fu

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13. Causal Inference with Latent Variables: Recent Advances and Future Prospectives
    SIGKDD 2024 ·

    Yaochen Zhu

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14. Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
    EMNLP 2024 · Yinhan He