Zhihang Fu’s Homepage

Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval

Yulong Hui, Chao Chen, Zhihang Fu^♦, Yihao Liu, Jieping Ye, Huanchen Zhang
In International Conference on Learning Representations (ICLR) 2026

Paper

Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval

Controlling Thinking Speed in Reasoning Models

Zhengkai Lin, Zhihang Fu^§, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye
In Conference on Neural Information Processing Systems (NeurIPS Spotlight) 2025

Paper | Code

Controlling Thinking Speed in Reasoning Models

Structure-aware Domain Knowledge Injection for Large Language Models

Kai Liu, Ze Chen, Zhihang Fu^§, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
In Annual Meeting of the Association for Computational Linguistics (ACL) 2025

Paper | Code

Structure-aware Domain Knowledge Injection for Large Language Models

ROPO: Robust Preference Optimization for Large Language Models

Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu^♦, Zhihao Shi, Feng Wu, Jieping Ye
In International Conference on Machine Learning (ICML) 2025

Paper

ROPO: Robust Preference Optimization for Large Language Models

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

Yang Qin, Chao Chen, Zhihang Fu^♦, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye
In International Conference on Learning Representations (ICLR) 2025

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ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

ESOD: Efficient Small Object Detection on High-Resolution Images

Kai Liu, Zhihang Fu^♦, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye.
In IEEE Transactions on Image Processing (TIP) 2024

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Enhancing LLM’s Cognition via Structurization

Kai Liu, Zhihang Fu^§, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, and Jieping Ye
In Conference on Neural Information Processing Systems (NeurIPS) 2024

Paper | Code

Enhancing LLM’s Cognition via Structurization

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin, Zhihang Fu^♦, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
In Conference on Neural Information Processing Systems (NeurIPS) 2024

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Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

Kai Liu, Zhihang Fu^§, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
In Conference on Neural Information Processing Systems (NeurIPS) 2024

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Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

INSIDE: LLMs’ Internal States Retain the Power of Hallucination Detection

Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu^§, Jieping Ye
In International Conference on Learning Representations (ICLR) 2024

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Category-Extensible Out-of-Distribution Detection

Kai Liu, Zhihang Fu^§, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
In Conference on Neural Information Processing Systems (NeurIPS) 2023

Paper | Code

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

Chao Chen, Zhihang Fu^§, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
In Conference on Neural Information Processing Systems (NeurIPS) 2023

Paper

Zhihang Fu | 付志航

📚 Publications

Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval

Controlling Thinking Speed in Reasoning Models

Structure-aware Domain Knowledge Injection for Large Language Models

ROPO: Robust Preference Optimization for Large Language Models

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

ESOD: Efficient Small Object Detection on High-Resolution Images

Enhancing LLM’s Cognition via Structurization

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

INSIDE: LLMs’ Internal States Retain the Power of Hallucination Detection

Category-Extensible Out-of-Distribution Detection

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection