🤵🏻 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 make AI models more robust and more reliable. Most recently, the research mainly focuses on Neuro-Symbolic Learning, Open Environment Machine Learning, LLM related theory, algorithms, and applications, following are some related research problems:

• How to make AI models more reliable by exploiting knowledge?
• How to bridge data-driven machine learning with knowledge-driven logic reasoning?
  (Related fields: Neuro-Symbolic Learning, Abductive Learning, etc.)
• How to make AI models more robust to open environments?
• How to make AI models robust to the continuous changes in data distributions/classes/features in open environments?
  (Related fields: Out-of Distribution Detection, Test-Time Adaptation, etc.)
• How to make AI models more general to solve more tasks?
• How to improve the ability of large language model (often in neuro-symbolic ways)?
  (Related fields: LLM Reasoning, LLM Planning etc.)
• How to exploit various expert models and tools to solve complex tasks?
  (Related fields: LLM Agent, Model Selection, etc.)

📢: 招收对机器学习、人工智能感兴趣，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

• 2024.05: 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.⛏️ 🛠️