🤵🏻 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 enhance the reasoning and planning capabilities of AI models in both digital and physical worlds, contributing to the advancement of artificial general intelligence (AGI). Our core approach is neuro-symbolic learning, which bridges data-driven machine learning with knowledge-driven symbolic 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 improving the reasoning and planning abilities of large-scale (multi-modal) models (e.g., LLMs, VLMs, VLAs, VLNs, etc.) through neuro-symbolic approaches, addressing challenges across high-quality data construction, model training, and inference. Potential applications include, but are not limited to, AI4Math, Visual Reasoning, AI Agent, Embodied AI, domain-specific large models, 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

• 2025.07: 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.⛏️ 🛠️