Yinhan He

According to our database, Yinhan He authored at least 25 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Safety in Graph Machine Learning: Threats and Safeguards.

Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

IEEE Trans. Knowl. Data Eng., April, 2026

Mechanistic Circuit-Based Knowledge Editing in Large Language Models.

Tianyi Zhao, Yinhan He, Wendy Zheng, Chen Chen

CoRR, April, 2026

Wired for Overconfidence: A Mechanistic Perspective on Inflated Verbalized Confidence in LLMs.

Tianyi Zhao, Yinhan He, Wendy Zheng, Yujie Zhang, Chen Chen

CoRR, April, 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

CoRR, March, 2026

IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning.

Yinhan He, Yaochen Zhu, Mingjia Shi, Wendy Zheng, Lin Su, Xiaoqing Wang, Qi Guo, Jundong Li

CoRR, February, 2026

Saliency-Aware Multi-Route Thinking: Revisiting Vision-Language Reasoning.

Mingjia Shi, Yinhan He, Yaochen Zhu, Jundong Li

CoRR, February, 2026

PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling.

Kavana Venkatesh, Yinhan He, Jundong Li, Jiaming Cui

CoRR, February, 2026

Reversing the Death of Hypertext: Mechanistic Interpretability for LLM Navigation.

Wendy Zheng, Yinhan He, Jundong Li

SIGWEB Newsl., 2026

MolEdit: Knowledge Editing for Multimodal Molecule Language Models.

Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

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

CoRR, October, 2025

Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning.

Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus

CoRR, October, 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

Trans. Mach. Learn. Res., 2025

Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.

Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Energy-Based Models for Predicting Mutational Effects on Proteins.

Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Edge Prompt Tuning for Graph Neural Networks.

Xingbo Fu, Yinhan He, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience.

Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture.

Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction.

Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li

CoRR, 2024

Spectral Greedy Coresets for Graph Neural Networks.

Mucong Ding, Yinhan He, Jundong Li, Furong Huang

CoRR, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives.

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.

Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024