Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. - Shen-Huan Lyu; Yi-Xiao He; Zhi-Hua Zhou (NeurIPS, 2022)

Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. - Yu-Chang Wu; Yi-Xiao He; Chao Qian 001; Zhi-Hua Zhou (PPSN (1), 2022)

Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. - Yi-Xiao He; Shen-Huan Lyu; Yuan Jiang 001 (CoRR, 2023)

Multi-class imbalance problem: A multi-objective solution. - Yi-Xiao He; Dan-Xuan Liu; Shen-Huan Lyu; Chao Qian 001; Zhi-Hua Zhou (Inf. Sci., 2024)

Margin distribution and structural diversity guided ensemble pruning. - Yi-Xiao He; Yu-Chang Wu; Chao Qian 001; Zhi-Hua Zhou (Mach. Learn., 2024)

Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation. - Shen-Huan Lyu; Yi-Xiao He; Yanyan Wang; Zhihao Qu; Bin Tang 002; Baoliu Ye (CoRR, 2025)