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2020 – today
- 2024
[j2]Yi-Xiao He
, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou:
Multi-class imbalance problem: A multi-objective solution. Inf. Sci. 680: 121156 (2024)- [c8]Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye:
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest. ECAI 2024: 2042-2049 - [c7]Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. ECAI 2024: 2806-2813 - [c6]Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian:
Confidence-aware Contrastive Learning for Selective Classification. ICML 2024 - [c5]Yanyan Wang, Jia Liu, Shen-Huan Lyu, Zhihao Qu, Bin Tang, Baoliu Ye:
Identifying Key Tag Distribution in Large-Scale RFID Systems. IWQoS 2024: 1-10 - [i4]Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian:
Confidence-aware Contrastive Learning for Selective Classification. CoRR abs/2406.04745 (2024) - [i3]Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye:
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest. CoRR abs/2407.05108 (2024) - [i2]Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. CoRR abs/2408.13787 (2024) - 2023
- [c4]Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS 2023: 7824-7848 - [i1]Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang:
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. CoRR abs/2305.00805 (2023) - 2022
- [j1]Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou:
Improving generalization of deep neural networks by leveraging margin distribution. Neural Networks 151: 48-60 (2022) - [c3]Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou:
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. NeurIPS 2022 - 2021
- [c2]Yi-He Chen, Shen-Huan Lyu, Yuan Jiang:
Improving Deep Forest by Exploiting High-order Interactions. ICDM 2021: 1030-1035
2010 – 2019
- 2019
- [c1]Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou:
A Refined Margin Distribution Analysis for Forest Representation Learning. NeurIPS 2019: 5531-5541
Coauthor Index
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