He, Yinhan

10 publications

ICLR 2026 Rank-GRPO: Training LLM-Based Conversational Recommender Systems with Reinforcement Learning Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Claudio Ostuni, Jundong Li, Nathan Kallus

ICLR 2026 Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li

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