Yinhan He - RankMe

30 papers A* 5A 2Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning. CoRR Yinhan He, Yaochen Zhu, Mingjia Shi, Wendy Zheng, Lin Su, Xiaoqing Wang, Qi Guo, Jundong Li
2026	A	`conf`	MolEdit: Knowledge Editing for Multimodal Molecule Language Models. WSDM Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2026	J	`jnl`	PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling. CoRR Kavana Venkatesh, Yinhan He, Jundong Li, Jiaming Cui
2026	J	`jnl`	Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping. CoRR Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li
2026	J	`jnl`	Reversing the Death of Hypertext: Mechanistic Interpretability for LLM Navigation. SIGWEB Newsl. Wendy Zheng, Yinhan He, Jundong Li
2026	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2026	J	`jnl`	Saliency-Aware Multi-Route Thinking: Revisiting Vision-Language Reasoning. CoRR Mingjia Shi, Yinhan He, Yaochen Zhu, Jundong Li
2025	—	`conf`	CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. EMNLP (Findings) Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025	A	`conf`	Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. WSDM Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
2025	A*	`conf`	Edge Prompt Tuning for Graph Neural Networks. ICLR Xingbo Fu, Yinhan He, Jundong Li
2025	J	`jnl`	Edge Prompt Tuning for Graph Neural Networks. CoRR Xingbo Fu, Yinhan He, Jundong Li
2025	—	`conf`	Energy-Based Models for Predicting Mutational Effects on Proteins. KDD (2) Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li
2025	J	`jnl`	Energy-Based Models for Predicting Mutational Effects on Proteins. CoRR Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li
2025	J	`jnl`	Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. Trans. Mach. Learn. Res. Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2025	A*	`conf`	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. ICLR Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2025	—	`conf`	LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience. EMNLP (Findings) Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li
2025	J	`jnl`	MolEdit: Knowledge Editing for Multimodal Molecule Language Models. CoRR Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2025	J	`jnl`	Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning. CoRR Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus
2025	J	`jnl`	SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens. CoRR Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li
2025	A*	`conf`	Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models. ICML Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
2025	A*	`conf`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2024	A*	`conf`	Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024	J	`jnl`	Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024	J	`jnl`	Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction. CoRR Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li
2024	—	`conf`	Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. EMNLP (Findings) Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. CoRR Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2024	J	`jnl`	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. CoRR Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2024	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. CoRR Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024	J	`jnl`	Spectral Greedy Coresets for Graph Neural Networks. CoRR Mucong Ding, Yinhan He, Jundong Li, Furong Huang
2024	J	`jnl`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li