🤵🏻 About Me

I am a researcher with research interests in artificial intelligence and machine learning. 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).

📖 Research

The long-term research goal of our team is to achieve artificial general intelligence (AGI). Most recently, the research mainly focuses on Improving the reasoning and planning abilities of large models (LLM and MLLM, usually in neuro-symbolic way), following are some related research problems:

• How to improve the reasoning and planning abilities of AI models?
• Related topics: LLM/MLLM Reasoning, AI4Math, Robotic Planning, etc.
• How to bridge knowledge-driven symbolic reasoning with data-driven machine learning?
• Related topics: Neuro-Symbolic Learning, Abductive Learning, etc.
• How to make AI models more robust to open environments?
• Related topics: Domain Generalization, Test-Time Adaptation, etc.

📢: 招收对人工智能、大模型感兴趣，有较好编程基础的学生，可通过邮箱guolz@nju.edu.cn联系我，请附上带普通生活照的个人简历、成绩单。
更多内容请见:招生说明.

🎉 News

• 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.⛏️ 🛠️