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I am a first-year Computer Science Ph.D. student at the College of Artificial Intelligence, Tsinghua University, supervised by Prof. Yang Gao. Before joining THU, I received my B.S. in Computer Science from Jilin University in 2025. My research focuses on reinforcement learning, embodied AI, and self-supervised learning. If you are interested in my work, please reach out by email. |
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Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers
Shengjie Wang*, Guanghe Li*, Zonghan Yang, Yang Gao arXiv preprint, 2026 arXiv / PDF Distills hindsight hints from failed SWE-agent rollouts to scaffold successful reasoning without chain-of-thought annotations. |
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Kimi K2.5: Visual Agentic Intelligence
Kimi Team et al. Guanghe Li contributed as one of many authors (full list on arXiv). Technical report, 2026arXiv |
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EasyInsert: A Data-Efficient and Generalizable Insertion Policy
Guanghe Li*, Junming Zhao*, Shengjie Wang, Yang Gao In submission, 2025 Project Page A framework for data-efficient, generalizable robotic insertion policies. |
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DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-Based Trajectory Stitching
Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang ICML, 2024 Paper Improves offline RL by stitching trajectories with diffusion models. |
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ProAgent: Building Proactive Cooperative Agents with Large Language Models
Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang AAAI Oral, 2024 Paper Proactive multi-agent cooperation using large language models. |
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CoRL: Reviewer (2025, 2026) |
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Tsinghua University, Beijing, China 2025.09 – Present Ph.D. in Computer Science College of Artificial Intelligence Advisor: Prof. Yang Gao |
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Jilin University, Changchun, China 2021.09 – 2025.06 B.S. in Computer Science College of Computer Science and Technology |
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