Currently I am a first year M.Sc. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

🔎Research Interests

My research interests include Machine Learning and Data Mining. Currently, I am interested in:

• Neuro-Symbolic Learning and Abductive Learning: Integrating the power of data-driven AI (e.g., machine learning) and knowledge-driven AI (e.g., symbolic logical reasoning).

📕Publications

• Curriculum Abductive Learning. [arXiv]
  Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang and Zhi-Hua Zhou.
  In: Advances in Neural Information Processing Systems (NeurIPS 2025), San Diego, CA, 2025. Page: to appear.

📃Preprints

• Horizon-wise Learning Paradigm Promotes Gene Splicing Identification. arXiv preprint arXiv:2406.11900, 2024. [Paper]
  Qi-Jie Li, Qian Sun, and Shao-Qun Zhang.

🚀Projects

• ABLkit [GitHub, PyPI]: I am a developer of ABLkit, an efficient open-source toolkit for abductive learning, which leverages the power of both data and knowledge. For more information, please refer to: ABLkit Documentation.

🏆Awards & Honors

• People’s Scholarship, First Prize, 2023 & 2024

🎓Education Experiences

• Sep 2025 - Now: M.Sc. candidate in Computer Science, School of Artificial Intelligence, Nanjing University.

• Sep 2021 - Jun 2025: B.Eng. degree in Artificial Intelligence, School of Artificial Intelligence, Nanjing University.

📬Correspondence

Email: liqj@lamda.nju.edu.cn

Github: https://github.com/wnqn1597

Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese: 南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023)