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黄 宇 轩
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🧑 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 (FCS), 2024, 18(6):186354. [paper, code, bibtex]
- 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 Knowledge-Enhanced Historical Document Segmentation and Recognition.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, 61(7):1791-1798. [paper] (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
- Introduction to Machine Learning. (With Prof. Zhi-Hua Zhou; Spring, 2021)
- LAMDA Machine Learning Summer Seminar. (For New Students in LAMDA, Summer, 2020)
- Knowledge Representation and Processing. (With Assoc. Prof. Yizheng Zhao; Spring, 2020)
🎖 Awards and Honors
- Outstanding Graduate of Jiangsu Province, 2024
- 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 - 2024.06, 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: huangyx@lamda.nju.edu.cn
- Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University, Nanjing, China
Page updated on 2024.07.13.