👤 About Me
I am a researcher with research interests in Artificial Intelligence, Reasoning & Planning, and Agent. I obtained my Ph.D. degree from Department of Computer Science and Technology in Nanjing University in June 2022, where I was very fortunate to be advised by professor Yu-Feng Li (李宇峰). Currently, I am an Assistant Professor in School of Intelligence Science and Technology, Nanjing University (Suzhou Campus). I am also a member of LAMDA Group (机器学习与数据挖掘研究所), which is led by professor Zhi-Hua Zhou (周志华).
Outside of work, I also enjoy hiking, mountaineering, photography, and travel.
招收对神经符号学习、大模型推理与规划、智能体（Digital and Embodied Agent）感兴趣，有较好编程基础的学生。
长期招收全职或者兼职的实习生，本科、硕士、博士均可申请。如有兴趣请给我发送邮件(guolz@nju.edu.cn)，附上你的简历，简要介绍你的研究兴趣和研究经历。
更多内容请见：招生说明。
🔬 Research
The long-term research goal of our team is to building general AI agents in both digital and physical worlds (such as game agent and embodied agent),
contributing to the advancement of artificial general intelligence (AGI). Our core approach centers on neuro-symbolic learning,
which bridges data-driven learning with symbolic-driven search and reasoning, often regarded as the hallmark of third-generation AI.
The neural component provides grounding in perception and physical interaction, while the symbolic component augments reasoning and planning.
Recently, our research has primarily focused on overcoming the limitations of reasoning and planning capabilities in Large Language Models (LLMs) and Multi-Modal
Large Language Models (MLLMs), and on building Agents capable of thinking, reasoning, planning, and acting in complex, dynamic, multi-modal environments.
Our work spans the following directions:
LLM / MLLM Reasoning
- Data Construction: Automated Data Generation and Selection
- Post-Training： SFT、Reinforcement Learning、Agentic Learning
Agent
- Agent in Digital World：Web/Tool-Use Agent, e.g., Travel Planning
- Agent in Physical World: Embodied Agent in Game and Physical World
AI for Open Problems
- AI for Math & Science: Theorem Proving、Scientific Discovery
- Auto Research: Augmenting human researchers with AI systems
📰 News
- 2026.05: Seven Papers are accepted by ICML 2026!
- 2026.05: One Paper is accepted by IJCAI 2026!
- 2026.04: Two Papers are accepted by ACL 2026!
- 2026.01: Three Papers are accepted by ICLR 2026!
- 2026.01: Congratulations on winning the Best Student Paper Award at the AAAI 2026 Trust Agent Workshop!
- 2026.01: One Paper is accepted by WWW 2026!
- 2025.11: One Paper is accepted by AAAI 2026!
- 2025.11: One Paper is accepted by AAAI 2026 Trust Agent Workshop!
- 2025.10: Congratulations to the three students (Hao-Zhe Tan, Zi-Jian Cheng, Song-Lin Lv) who received the National Scholarship!
- 2025.10: One Paper is accepted by MATH-AI Workshop @ NeurIPS 2025!
- 2025.09: One Paper is accepted by NeurIPS 2025!
- 2025.08: One Paper is accepted by EMNLP 2025!
- 2025.07: One Paper is accepted by AI4Math Workshop in ICML 2025!
- 2025.05: We have released TabFSBench for evaluation tabular data learning in open environments.
- 2025.05: Three Papers are accepted by ICML 2025!
- 2025.04: One Paper is accepted by IJCAI 2025 Survey Track!
- 2025.03: One Paper is accepted by SCI-FM Workshop @ ICLR 2025!
- 2025.01: One Paper is accepted by ICLR 2025!
- 2024.12: We have released ChinaTravel benchmark for travel planning.
- 2024.12: One Paper is accepted by AAAI 2025!
- 2024.10: We have released Awesome Neuro-Symbolic Learning in the Era of Foundation Models.
- 2024.05: One Paper is accepted by FCS!
- 2024.05: One Paper is accepted by KDD 2024!
- 2024.04: One Paper is accepted by ICML 2024!
- 2024.01: One Paper is accepted by ICLR 2024!
- 2023.12: CFP: We are organizing a "Robust Machine Learning in Open Environments" workshop in PAKDD 2024, Taipei, May 7, 2024
- 2023.12: One Paper is accepted by IEEE TVCG!
- 2023.11: One paper is accepted by Science China Information Science!
- 2023.05: We open-sourced a LLM for Chinese Legal domain LawGPT.⛏️ 🛠️
- 2022.07: We open-sourced the semi-supervised learning toolkit LAMDA-SSL.⛏️ 🛠️