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ORCIDYinhan He
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2020 – today
- 2026
[j3]Wendy Zheng, Yinhan He, Jundong Li:
Reversing the Death of Hypertext: Mechanistic Interpretability for LLM Navigation. SIGWEB Newsl. 2026(Winter): 4:1-4:6 (2026)- [j2]Song Wang
, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li:
Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. 38(4): 2408-2428 (2026) - [c13]Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li:
MolEdit: Knowledge Editing for Multimodal Molecule Language Models. WSDM 2026: 334-344 - [i20]Kavana Venkatesh, Yinhan He, Jundong Li, Jiaming Cui:
PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling. CoRR abs/2602.06030 (2026) - [i19]Mingjia Shi, Yinhan He, Yaochen Zhu, Jundong Li:
Saliency-Aware Multi-Route Thinking: Revisiting Vision-Language Reasoning. CoRR abs/2602.16702 (2026) - [i18]Yinhan He, Yaochen Zhu, Mingjia Shi, Wendy Zheng, Lin Su, Xiaoqing Wang, Qi Guo, Jundong Li:
IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning. CoRR abs/2602.19049 (2026) - [i17]Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li:
Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping. CoRR abs/2603.06923 (2026) - [i16]Tianyi Zhao, Yinhan He, Wendy Zheng, Yujie Zhang, Chen Chen:
Wired for Overconfidence: A Mechanistic Perspective on Inflated Verbalized Confidence in LLMs. CoRR abs/2604.01457 (2026) - [i15]Tianyi Zhao, Yinhan He, Wendy Zheng, Chen Chen:
Mechanistic Circuit-Based Knowledge Editing in Large Language Models. CoRR abs/2604.05876 (2026) - [i14]Yaochen Zhu, Harald Steck, James McInerney, Aditya Sinha, Yinhan He, Nathan Kallus, Jundong Li:
Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems. CoRR abs/2606.10078 (2026) - [i13]Yinhan He, Liam Collins, Bhuvesh Kumar, Jundong Li, Neil Shah, Donald Loveland:
Implicit Reasoning for Large Language Model-based Generative Recommendation. CoRR abs/2606.14142 (2026) - 2025
- [j1]Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li:
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. Trans. Mach. Learn. Res. 2025 (2025) - [c12]Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI 2025: 16657-16665 - [c11]Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li:
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience. EMNLP (Findings) 2025: 2207-2220 - [c10]Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li:
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. EMNLP (Findings) 2025: 16088-16101 - [c9]Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li:
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. ICLR 2025 - [c8]Xingbo Fu, Yinhan He, Jundong Li:
Edge Prompt Tuning for Graph Neural Networks. ICLR 2025 - [c7]Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li:
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models. ICML 2025 - [c6]Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li:
Energy-Based Models for Predicting Mutational Effects on Proteins. KDD (2) 2025: 2597-2608 - [c5]Yinhan He, Wendy Zheng, Song Wang, Zaiyi Zheng, Yushun Dong, Yaochen Zhu, Jundong Li:
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning. NeurIPS 2025 - [c4]Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li:
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens. NeurIPS 2025 - [c3]Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li:
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. WSDM 2025: 905-913 - [i12]Xingbo Fu, Yinhan He, Jundong Li:
Edge Prompt Tuning for Graph Neural Networks. CoRR abs/2503.00750 (2025) - [i11]Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li:
Energy-Based Models for Predicting Mutational Effects on Proteins. CoRR abs/2508.10629 (2025) - [i10]Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus:
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning. CoRR abs/2510.20150 (2025) - [i9]Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li:
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens. CoRR abs/2510.24940 (2025) - [i8]Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li:
MolEdit: Knowledge Editing for Multimodal Molecule Language Models. CoRR abs/2511.12770 (2025) - 2024
- [c2]Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li:
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. EMNLP (Findings) 2024: 7079-7096 - [c1]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD 2024: 6677-6687 - [i7]Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li:
Safety in Graph Machine Learning: Threats and Safeguards. CoRR abs/2405.11034 (2024) - [i6]Mucong Ding, Yinhan He, Jundong Li, Furong Huang:
Spectral Greedy Coresets for Graph Neural Networks. CoRR abs/2405.17404 (2024) - [i5]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR abs/2406.13966 (2024) - [i4]Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li:
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction. CoRR abs/2410.15165 (2024) - [i3]Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li:
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. CoRR abs/2410.19978 (2024) - [i2]Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li:
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. CoRR abs/2412.07188 (2024) - [i1]Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR abs/2412.19229 (2024)
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