Yi-Xiao He

According to our database, Yi-Xiao He authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

On the Learnability of Offline Model-Based Optimization: A Ranking Perspective.

Shen-Huan Lyu, Rong-Xi Tan, Ke Xue, Yi-Xiao He, Yu Huang, Qingfu Zhang, Chao Qian

CoRR, March, 2026

Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients.

Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Yi-Xiao He, Bin Tang, Baoliu Ye, Qingfu Zhang

CoRR, March, 2026

Interpreting Deep Forest through Feature Contribution and MDI Feature Importance.

Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang

ACM Trans. Knowl. Discov. Data, January, 2026

A semi-supervised deep forest framework based on margin distribution optimization for tabular data.

Shen-Huan Lyu, Jia-Le Xu, Yi-Xiao He, Yanyan Wang, Baoliu Ye, Qingfu Zhang

Inf. Sci., 2026

2025

Enhance learning efficiency of oblique decision tree via feature concatenation.

Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang, Zhihao Qu, Bin Tang, Baoliu Ye

Inf. Sci., 2025

2024

Margin distribution and structural diversity guided ensemble pruning.

Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou

Mach. Learn., June, 2024

Multi-class imbalance problem: A multi-objective solution.

Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou

Inf. Sci., 2024

2022

Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution.

Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Depth is More Powerful than Width with Prediction Concatenation in Deep Forest.

Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022