黄 宇 轩
Yu-Xuan Huang

Ph.D. student, LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing, China

Supervisor: Prof. Yuan Jiang and Prof. Zhi-Hua Zhou


🧑 About Me

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

I received my B.Sc. degree in Department of Computer Science and Technology in June 2019 from Tongji University. In the same year, I was admitted to pursue for a Ph.D. degree in Nanjing University without entrance examination.

📚 Research Interests

My research interests include Machine Learning and Data Mining. Currently I am focusing on the subfields:

  • Neuro-Symbolic Learning and Abductive Learning: integrating the power of machine learning and logical reasoning

📝 Publications

  • Yu-Xuan Huang, Wen-Chao Hu, En-Hao Gao, Yuan Jiang. ABLkit: A Python Toolkit for Abductive Learning. Frontiers of Computer Science, 2024, to appear. [paper, code]
  • Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang. Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24), Vancouver, Canada, 2024, pp.15310-15318. [paper, bibtex]
  • En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu, Xin-Hao Zhu, Wang-Zhou Dai. Knowledge-Enhanced Historical Document Segmentation and Recognition. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24), Vancouver, Canada, 2024, pp.8409-8416 (Oral). [paper, bibtex]
  • Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou. Enabling Abductive Learning to Exploit Knowledge Graph. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI’23), Macao, China, 2023, pp.3839-3847. [paper, bibtex]
  • Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou. Enabling Knowledge Refinement upon New Concepts in Abductive Learning. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’23), Washington, DC, 2023, pp.7928-7935 (Oral). [paper, bibtex]
  • Zhongyi Han, Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Benzheng Wei, Wei Wang, Yilong Yin. Abductive Subconcept Learning. Science China Information Sciences (SCIS), 2023, 66(2): 122103. [paper]
  • Zhi-Hua Zhou and Yu-Xuan Huang. Abductive Learning. In P. Hitzler and M. K. Sarker eds., Neuro-Symbolic Artificial Intelligence: The State of the Art, IOP Press, Amsterdam, 2022, p.353-379. [paper, bibtex]
  • Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen Muggleton, Yuan Jiang. Fast Abductive Learning by Similarity-based Consistency Optimization. In: Advances in Neural Information Processing Systems 34 (NeurIPS’21), online, 2021, pp.26574-26584. [paper, bibtex]
  • Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou and Yingcai Wu. Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennies. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’21), online, 2021, pp.3688-3696. [paper, bibtex]
  • Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yu-Feng Li, Stephen Muggleton, Yuan Jiang. Abductive Learning with Ground Knowledge Base. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI’21), online, 2021, pp.1815-1821. [paper, bibtex]
  • Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yu-Feng Li, Zhi-Hua Zhou. Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. In: Proceedings of the 20th International Conference on Data Mining (ICDM’20), online, 2020, pp.1070-1075. [paper, bibtex]
  • Yu-Xuan Huang and Yuan Jiang. Abductive Learning Method with Rejection Reasoning. Journal of Computer Research and Development, 2024. (This paper won the CCML Best Paper Award)

📑 Academic Service

  • Reviewer for Conferences: IJCAI2021, PAKDD2022, IJCAI2022, ICML2023, IJCAI2023, ECAI2023, NeurIPS2023, ICLR2023, IJCAI2024, ICML2024

👨‍🏫 Teaching Assistant

🎖 Awards and Honors

  • Huawei Scholarship, 2023, 2021
  • Best Student Paper of the 19th China Conference on Machine Learning, 2023
  • Huawei Outstanding Student Award, First Prize, 2023
  • Second prize of International Algorithm Case Competition: Historical Document Analysis and Recognition Track, 2022
  • LAMDA Talent Award, 2022
  • Yingcai Scholarship of Nanjing University, Second Prize, 2022
  • Excellent Graduate Student of Nanjing University, 2020
  • Xinhua Press Scholarship, 2020
  • Outstanding Graduate of Shanghai, Shanghai, 2019
  • National Undergraduate Scholarship, MOE of PRC, 2018, 2017, 2016

📖 Education

  • 2019.09 - Present, Ph.D. Student, School of Artificial Intelligence, Nanjing University, Nanjing.
  • 2015.09 - 2019.06, Undergraduate, Department of Computer Science and Technology, Tongji University, Shanghai.

📧 Correspondence

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

Currently I am in charge of LAMDA-1 public library. If you are in LAMDA-1 and want to borrow/recommend books, please refer to this page.

Page updated on 2024.01.17.