I am a Ph.D. student at the School of Information Science and Technology, University of Science and Technology of China (USTC). My M.S. advisor is Academician Feng Wu, and my Ph.D. advisor is Prof. Zhibo Chen. I received my Bachelor’s degree in 2024 from the School of the Gifted Young at USTC. My research interests include LLM post-training, agent, reinforcement learning, and world model.

Education

• Ph.D., School of Information Science and Technology, University of Science and Technology of China, 2026 - 2029 (Expected)
• M.S., School of Information Science and Technology, University of Science and Technology of China, 2024 - 2026
• B.S., School of the Gifted Young, University of Science and Technology of China, 2020 - 2024

Selected Publications

1. Runquan Gui, Zhihai Wang, Jie Wang^†, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. ICML 2025. [Website] [Paper] [Code]
2. Runquan Gui, Jie Wang^†, Zhihai Wang, Chi Ma, Jianye Hao, Feng Wu. Short Chains, Deep Thoughts: Balancing Reasoning Efficiency and Intra-Segment Capability via Split-Merge Optimization. ICML 2026. [Paper] [Code]
3. Runquan Gui, Yafu Li^†, Xiaoye Qu, Ziyan Liu, Yeqiu Chen, Yu Cheng. Learning to Reason Faithfully through Step-Level Faithfulness Maximization. [Paper] [Code]
4. Haoran Zhang*, Luxin Xu*, Zhilin Wang*, Runquan Gui*, Shunkai Zhang, Haodi Lei, Zihao He, Bingsu He, Chicheng Qin, Tong Zhu, Xiaoye Qu, Yang Yang^†, Yu Cheng^†, Yafu Li^†. Pi-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows. [Website] [Paper] [Code]
5. Yeqiu Chen, Ziyan Liu, Zhenxin Huang, Runquan Gui, Hong Wang, Lei Liu^†. ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning. ICML 2026. [Paper]

* denotes equal contribution.

Intern & Collaboration

• Tencent Hunyuan, Qingyun Program Intern, May 2026 – Present
• Shanghai AI Laboratory, Research Intern, Sept. 2025 – Apr. 2026
• Noah’s Ark Lab, Huawei, Research Collaboration, Dec. 2024 – Aug. 2025
• Alibaba Cloud, Research Intern, May 2024 – Aug. 2024

Honors and Awards

• “Qiangwei” Scholarship, 2021 & 2023
• Outstanding Student Scholarship, 2021 & 2022 & 2023