Shen-Huan Lyu

31 papers A* 5A 3B 2Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients.
CoRR
Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Yi-Xiao He, Bin Tang, Baoliu Ye, Qingfu Zhang
2026 J jnl
CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models.
CoRR
Yu-Nian Wang, Shen-Huan Lyu, Ning Chen, Jia-Le Xu, Baoliu Ye, Qingfu Zhang
2026 J jnl
Compressing model with few class-imbalance samples: An out-of-distribution expedition.
Pattern Recognit. Lett.
Tian-Shuang Wu, Shen-Huan Lyu, Yanyan Wang, Ning Chen, Zhihao Qu, Baoliu Ye
2026 J jnl
Enhance and Reuse: A Dual-Mechanism Approach to Boost Deep Forest for Label Distribution Learning.
CoRR
Jia-Le Xu, Shen-Huan Lyu, Yu-Nian Wang, Ning Chen, Zhihao Qu, Bin Tang, Baoliu Ye
2026 J jnl
Improving multi-label contrastive learning by leveraging label distribution.
Pattern Recognit.
Ning Chen, Shen-Huan Lyu, Tian-Shuang Wu, Yanyan Wang, Bin Tang
2026 J jnl
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance.
ACM Trans. Knowl. Discov. Data
Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang
2026 J jnl
On the Learnability of Offline Model-Based Optimization: A Ranking Perspective.
CoRR
Shen-Huan Lyu, Rong-Xi Tan, Ke Xue, Yi-Xiao He, Yu Huang, Qingfu Zhang, Chao Qian
2026 J jnl
Time-Efficient Identifying Key Tag Distribution in Large-Scale RFID Systems.
IEEE Trans. Mob. Comput.
Yanyan Wang, Jia Liu, Zhihao Qu, Shen-Huan Lyu, Bin Tang, Baoliu Ye
2025 J jnl
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition.
CoRR
Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Zhihao Qu, Baoliu Ye
2025 J jnl
Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation.
CoRR
Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang, Zhihao Qu, Bin Tang, Baoliu Ye
2025 J jnl
Enhance learning efficiency of oblique decision tree via feature concatenation.
Inf. Sci.
Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang, Zhihao Qu, Bin Tang, Baoliu Ye
2025 J jnl
Improving Multi-Label Contrastive Learning by Leveraging Label Distribution.
CoRR
Ning Chen, Shen-Huan Lyu, Tian-Shuang Wu, Yanyan Wang, Bin Tang
2025 B conf
Multi-Range Query in Commodity RFID Systems.
IWQoS
Yanyan Wang, Jia Liu, Zhihao Qu, Shen-Huan Lyu, Bin Tang, Baoliu Ye
2025 A* conf
Offline Model-Based Optimization by Learning to Rank.
ICLR
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025 J jnl
Theoretical Investigation on Inductive Bias of Isolation Forest.
CoRR
Qin-Cheng Zheng, Shao-Qun Zhang, Shen-Huan Lyu, Yuan Jiang, Zhi-Hua Zhou
2024 A* conf
Confidence-aware Contrastive Learning for Selective Classification.
ICML
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian
2024 J jnl
Confidence-aware Contrastive Learning for Selective Classification.
CoRR
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian
2024 B conf
Identifying Key Tag Distribution in Large-Scale RFID Systems.
IWQoS
Yanyan Wang, Jia Liu, Shen-Huan Lyu, Zhihao Qu, Bin Tang, Baoliu Ye
2024 A conf
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning.
ECAI
Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye
2024 J jnl
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning.
CoRR
Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye
2024 J jnl
Multi-class imbalance problem: A multi-objective solution.
Inf. Sci.
Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou
2024 J jnl
Offline Model-Based Optimization by Learning to Rank.
CoRR
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2024 — conf
Personalized Federated Learning with Feature Alignment via Knowledge Distillation.
PRICAI (2)
Guangfei Qi, Zhihao Qu, Shen-Huan Lyu, Ninghui Jia, Baoliu Ye
2024 A conf
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest.
ECAI
Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye
2024 J jnl
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest.
CoRR
Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye
2023 J jnl
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance.
CoRR
Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang
2023 A conf
On the Consistency Rate of Decision Tree Learning Algorithms.
AISTATS
Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2022 A* conf
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest.
NeurIPS
Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou
2022 J jnl
Improving generalization of deep neural networks by leveraging margin distribution.
Neural Networks
Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou
2021 A* conf
Improving Deep Forest by Exploiting High-order Interactions.
ICDM
Yi-He Chen, Shen-Huan Lyu, Yuan Jiang
2019 A* conf
A Refined Margin Distribution Analysis for Forest Representation Learning.
NeurIPS
Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou