About Me

I am a Ph.D. student at the School of Information Science and Technology, University of Science and Technology of China (USTC). 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

“Qiangwei” Scholarship, 2021 & 2023
“Jiuzhang Cup” Probability and Statistics Mathematics Competition Bronze Award, 3rd place, 2023
Outstanding Student Scholarship, 2021 & 2022 & 2023

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
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
Runquan Gui, Yafu Li*, Xiaoye Qu, Ziyan Liu, Yeqiu Chen, Yu Cheng. Learning to Reason Faithfully through Step-Level Faithfulness Maximization. Paper Code
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.