He, Yinhan

8 publications

ICLR 2025 Edge Prompt Tuning for Graph Neural Networks Xingbo Fu, Yinhan He, Jundong Li

TMLR 2025 Global Graph Counterfactual Explanation: A Subgraph Mapping Approach Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li

ICLR 2025 Graph Neural Networks Are More than Filters: Revisiting and Benchmarking from a Spectral Perspective Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li

NeurIPS 2025 Hierarchical Demonstration Order Optimization for Many-Shot In-Context Learning Yinhan He, Wendy Zheng, Song Wang, Zaiyi Zheng, Yushun Dong, Yaochen Zhu, Jundong Li

NeurIPS 2025 Scaling Epidemic Inference on Contact Networks: Theory and Algorithms Guanghui Min, Yinhan He, Chen Chen

NeurIPS 2025 SemCoT: Accelerating Chain-of-Thought Reasoning Through Semantically-Aligned Implicit Tokens Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li

ICML 2025 Towards Global-Level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li

AAAI 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li