Wen-Chao Hu (LAMDA, NJU)
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胡文超
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Biography
Currently I am a Ph.D. candidate of School of Artificial
Intelligence in Nanjing University and a member of LAMDA Group, under the supervision of
Prof. Yuan Jiang
and Prof. Zhi-Hua Zhou.
I received my B.Sc. degree from School of Intelligent Systems Engineering in June 2021 from Sun Yat-sen University. In the same year, I was admitted to pursue a Ph.D. degree in Nanjing University without entrance examination.
Research Interests
My research interests include machine learning and data mining. Most recently, I am interested in:
- Abductive Learning and Neural-Symbolic Methods: Integrating the power of data-driven AI (e.g., machine learning) and knowledge-driven AI (e.g., symbolic logical reasoning).
Publication
Preprint
Curriculum Abductive Learning. [arXiv, bibtex]
Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang and Zhi-Hua Zhou.
Conference Paper
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. [paper, arXiv, poster, code, bibtex] Outstanding Paper Award
Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, and Zhi-Hua Zhou.
In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI’25), Philadelphia, PA, 2025. Page: 17333-17341.Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. [arXiv, bibtex]
Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, and Yu-Feng Li.
In: Proceedings of the 42nd International Conference on Machine Learning (ICML’25), Vancouver, Canada, 2025. Page: to appear.Knowledge-Enhanced Historical Document Segmentation and Recognition. [paper, bibtex] (Oral)
En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu, Xin-Hao Zhu, and Wang-Zhou Dai.
In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24), Vancouver, Canada, 2024. Page: 8409--8416.
Journal Paper
ABLkit: A Python Toolkit for Abductive Learning. [paper, bibtex]
Yu-Xuan Huang, Wen-Chao Hu, En-Hao Gao, and Yuan Jiang.
Frontiers of Computer Science, 2024, 18(6):186354.
Projects
ABLkit [GitHub, PyPI]: I am the core developer and current maintainer 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
Outstanding Paper Award of AAAI 2025. (3 outstanding papers out of 12,957 submissions)
Second Prize (3rd place), Greater Bay Area International Algorithm Competition, 2022. (with En-Hao Gao, Yu-Xuan Huang, Xin-Hao Zhu, and Wang-Zhou Dai; shared a prize of ¥100,000)
Outstanding Bachelor's Thesis of Sun Yat-sen University, 2021.
Teaching Assistant
Digital Signal Processing (with Prof. Wei Wang; 2022 fall, 2023 fall, 2025 spring, 2025 fall)
Introduction to Machine Learning (with Prof. Zhi-Hua Zhou; 2022 fall, 2024 spring)
Mathematical Logic (with Dr. Cunjing Ge; 2023 spring, 2024 spring)
Symbolic Learning (with Assoc. Prof. Wang-Zhou Dai; 2022 spring)
Operating Systems (with Dr. Xintao Niu and Huayao Wu; 2022 spring)
Academic Service
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PC Member or Reviewer for Conferences: NeurIPS (2024, 2025), NeSy (2024, 2025), IJCLR (2024), ICLR (2025), AISTATS (2025), ICML (2025), IJCAI (2025).
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Volunteer for Conferences: MLA (2023), IJCLR (2024).
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Server Administrator for LAMDA group, 2021-2022.
Miscellaneous
We hold a weekly Abductive Learning (ABL) Seminar. I serve as the seminar organizer and website maintainer. If you are interested in joining, feel free to contact me.
I am an enthusiast of strength training (fitness/CrossFit) and road bycicle racing, see photos here.
Correspondence
Email:
huwc@lamda.nju.edu.cn
Office:
Room 912, Computer Science Building, Xianlin Campus of Nanjing University
Mail Address:
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(江苏省南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023)