Yi-Xiao He @ LAMDA, NJU-AI
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贺一笑 |
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Biography
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 got my B.Eng. degree in Information Science in June 2019 from Chu Kochen Honors College of Zhejiang University. In the same year, I was admitted to pursue Ph.D. degree in Nanjing University without entrance examination.
Research Interests
My research interests include Machine Learning and Data Mining. More specifically, I am interested in the following topics:
- Deep forest
- Ensemble methods
Publication
[TKDD 2024] Yi-Xiao He, Shen-Huan Lyu, and Yuan Jiang. Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. ACM Transactions on Knowledge Discovery from Data, in press. [paper][arXiv]
[MLJ 2024] Yi-Xiao He, Yu-Chang Wu, Chao Qian, and Zhi-Hua Zhou. Margin Distribution and Structural Diversity Guided Ensemble Pruning. Machine Learning, in press. [paper][poster]
[NeurIPS 2022 Oral] Shen-Huan Lyu, Yi-Xiao He, and Zhi-Hua Zhou. Depth is More Powerful than Width with Feature Concatenation in Deep Forest. In: Advances in Neural Information Processing Systems 35, New Orleans, Louisiana, US, 2022, pp. 29719-29732. [paper]
[PPSN 2022] Yu-Chang Wu, Yi-Xiao He, Chao Qian, and Zhi-Hua Zhou. Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. In: Proceedings of the 17th International Conference on Parallel Problem Solving from Nature, Dortmund, Germany, 2022, pp.427-441. [paper]
[JCRD 2020] 贺一笑, 庞明, 姜远. 蒙德里安深度森林. 计算机研究与发展, 2020. [paper][code]
Awards & Honors
Correspondence
Email:
heyx@lamda.nju.edu.cn
Office:
Room 912, Computer Science Building, Xianlin Campus of Nanjing University