Yi-Xiao He

Yi-Xiao He

Nanjing University of Chinese Medicine

I am currently a Lecturer in School of Artificial Intelligence and Information Technology of Nanjing University of Chinese Medicine. I obtained my Ph.D. degree in Computer Science in June 2024 from School of Artificial Intelligence of Nanjing University, where I was very fortunate to be advised by Prof. Zhi-Hua Zhou. Before that, I got my B.Eng. degree in Information Science in June 2019 from Chu Kochen Honors College of Zhejiang University.

My research interests include machine learning and multi-objective optimization. Currently, I mainly focus on ensemble learning methods, and Artificial Intelligence in TCM Clinical Data Mining.

🔥 News

  • 2024.06:  🎉🎉 I obtained my Ph.D. degree.
  • 2024.01:  🎉🎉 The paper “Interpreting Deep Forest through Feature Contribution and MDI Feature Importance” is accepted by the CCF-B international journal ACM TKDD 2024.
  • 2023.12:  🎉🎉 The paper “Margin Distribution and Structural Diversity Guided Ensemble Pruning” is accepted by the CCF-B international journal MLJ 2024.
  • 2022.12:  🎉🎉 The paper “Depth is More Powerful than Width with Prediction Concatenation in Deep Forests” is accepted by the CCF-A international conference NeurIPS 2022 as an Oral Presentation.

📝 Publications

  • [INS 2025] Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation. [paper] [bib]
    Shen-Huan Lyu, Yi-Xiao He*, Yanyan Wang, Zhihao Qu, Bin Tang, and Baoliu Ye.
    Information Sciences, 2025, In Press.

  • [INS 2024] Multi-Class Imbalance Problem: A Multi-Objective Solution. [paper] [code] [bib]
    Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, and Zhi-Hua Zhou.
    Information Sciences, 2024, 680: 121156.

  • [TKDD 2024] Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. [paper] [code] [bib]
    Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang.
    ACM Transactions on Knowledge Discovery from Data, in press, 2024.

  • [MLJ 2024] Margin Distribution and Structural Diversity Guided Ensemble Pruning. [paper] [poster] [code] [bib]
    Yi-Xiao He, Yu-Chang Wu, Chao Qian, and Zhi-Hua Zhou.
    Machine Learning, 2024, 113: 3545-3567.

  • [NeurIPS 2022 Oral] Depth is More Powerful than Width with Prediction Concatenation in Deep Forests. [paper] [bib]
    Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou.
    In: Advances in Neural Information Processing Systems 35, pp. 29719-29732, New Orleans, Louisiana, US, 2022.

  • [PPSN 2022] Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. [paper] [bib]
    Yu-Chang Wu, Yi-Xiao He, Chao Qian, and Zhi-Hua Zhou.
    In: Proceedings of the 17th International Conference on Parallel Problem Solving from Nature, Dortmund, Germany, pp.427-441, 2022.

  • [JCRD 2020] 蒙德里安深度森林. [paper] [code] [bib]
    贺一笑, 庞明, 姜远.
    计算机研究与发展, 57(8):1594-1604, 2020.

🎖 Honors and Awards

  • 2019.09 Xu Xin International Student Exchange Scholarship.
  • 2023.11 Excellent Graduate Student of Nanjing University.

📖 Educations

  • 2019.09 - 2024.06, Ph.D. in Computer Science, Nanjing University (NJU)
  • 2015.09 - 2019.06, B.Eng. in Information Science, Zhejiang University (ZJU)