Kuan Li Homepage

About Me

I am currently a second-year PhD student at CSE HKUST under the supervision of Prof. Minhao Cheng and Prof. Shuai Wang. I obtained my M.E. degree from Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS) supervised by Prof. Xiang Ao, and completed my B.E. degree in Electrical Engineering and Automation at Beihang University.

Doing post-training (especially data synthesis and RL) in Tongyi DeepResearch

Contact information

Email: likuan.ppd@gmail.com

Research interests

My research interests lie in agent learning and machine learning on graphs. Currently, my work focuses on LLM agents, particularly on developing efficient methods to enable LLMs to leverage external tools for solving tasks that they cannot complete autonomously.

Publications

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Kuan Li*, Zhongwang Zhang*, Huifeng Yin*, Rui Ye*, Yida Zhao*, Liwen Zhang*, Litu Ou, Dingchu Zhang, Xixi Wu, Jialong Wu, Xinyu Wang, Zile Qiao, Zhen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Zhi-Qin John Xu, Shuai Wang, Minhao Cheng, Jingren Zhou".
In arXiv 2025. [Download paper] [code]

ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

Xixi Wu*, Kuan Li*, Yida Zhao, Liwen Zhang, Litu Ou, Huifeng Yin, Zhongwang Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Minhao Cheng, Shuai Wang, Hong Cheng, Jingren Zhou".
In arXiv 2025. [Download paper] [code]

Scaling Agents via Continual Pre-training

Liangcai Su, Zhen Zhang, Guangyu Li, Zhuo Chen, Chenxi Wang, Maojia Song, Xinyu Wang, Kuan Li, Jialong Wu, Xuanzhong Chen, Zile Qiao, Zhongwang Zhang, Huifeng Yin, Shihao Cai, Runnan Fang, Zhengwei Tao, Wenbiao Yin, Chenxiong Qian, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou.
In arXiv 2025. [Download paper] [code]

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

Zile Qiao, Guoxin Chen, Xuanzhong Chen, Donglei Yu, Wenbiao Yin, Xinyu Wang, Zhen Zhang, Baixuan Li, Huifeng Yin, Kuan Li, Rui Min, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou.
In arXiv 2025. [Download paper] [code]

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Zhengwei Tao, Jialong Wu, Wenbiao Yin, Liwen Zhang, Xinyu Wang, Junkai Zhang, Baixuan Li, Haiyang Shen, Kuan Li, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou.
In arXiv 2025. [Download paper] [code]

WebSailor: Navigating Super-human Reasoning for Web Agent

Kuan Li*, Zhongwang Zhang*, Huifeng Yin*, Liwen Zhang*, Litu Ou*, Jialong Wu, Wenbiao Yin, Baixuan Li, Zhengwei Tao, Xinyu Wang, Weizhou Shen, Junkai Zhang, Dingchu Zhang, Xixi Wu, Yong Jiang, Ming Yan, Pengjun Xie, Fei Huang, Zhi-Qin John Xu, Shuai Wang, Minhao Cheng, Jingren Zhou.
In arXiv 2025. [Download paper] [code]

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing

Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng.
In ICML 2025. [Download paper] [code]

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

Kuan Li, YiWen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao.
In ICLR 2024. [Download paper] [code]

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs

Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He.
In KDD 2023. [Download paper]

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective

Kuan Li, Yang Liu, Qing He, Xiang Ao.
In ICLR 2023. [Download paper] [code]

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN

Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He.
In KDD 2022. [Download paper] [code]

AUC-oriented Graph Neural Network for Fraud Detection

Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He.
In WWW 2022. [Download paper]