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Shen-Huan Lyu

Observed names: Lyu, Shen-Huan, Shenhuan Lyu, Shen‐Huan LYU
ORCID: 0000-0002-0173-8408
Observed ORCID: 0000-0002-0173-8408
OpenAlex ID: A5029528104
A Refined Margin Distribution Analysis for Forest Representation Learning
2019 · Shen-Huan Lyu, Liang Yang, et al. · neural information processing systems · 14
Improving generalization of deep neural networks by leveraging margin distribution
2022 · Shen-Huan Lyu, Lu Wang, et al. · Neural Networks · 13
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Improving Deep Forest by Exploiting High-order Interactions
2021 · Yi-He Chen, Shen-Huan Lyu, et al. · Proceedings · 11
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance
2024 · Yi-Xiao He, Shen-Huan Lyu, et al. · ACM Transactions on Knowledge Discovery from Data · 9
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Multi-class imbalance problem: A multi-objective solution
2024 · Yi-Xiao He, Dan-Xuan Liu, et al. · Information Sciences · 6
Confidence-aware Contrastive Learning for Selective Classification
2024 · Wu, Yu-Chang, Lyu, Shen-Huan, et al. · arXiv (Cornell University) · 6
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Improving multi-label contrastive learning by leveraging label distribution
2025 · Ning Chen, Shen-Huan Lyu, et al. · Pattern Recognition · 4
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Personalized Federated Learning with Feature Alignment via Knowledge Distillation
2024 · Guangfei Qi, Zhihao Qu, et al. · Lecture notes in computer science · 4
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning
2024 · Wenxuan Zhou, Zhihao Qu, et al. · Frontiers in artificial intelligence and applications · 4
Offline Model-Based Optimization by Learning to Rank
2024 · Tan, Rong-Xi, Xue, Ke, et al. · arXiv (Cornell University) · 4
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A Region‐Based Analysis for the Feature Concatenation in Deep Forests
2022 · Shen‐Huan LYU, Yi‐He CHEN, et al. · Chinese Journal of Electronics · 4
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A multiple surrogate simulation-optimization framework for designing pump-and-treat systems
2026 · Chaoqi Wang, Zhi Dou, et al. · Journal of Contaminant Hydrology · 3
Identifying Key Tag Distribution in Large-Scale RFID Systems
2024 · Yanyan Wang, Jia Liu, et al. · International Workshop on Quality of Service · 3
On the Learnability of Offline Model-Based Optimization: A Ranking Perspective
2026 · Lyu, Shen-Huan, Tan, Rong-Xi, et al. · arXiv (Cornell University) · 2
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Enhance learning efficiency of oblique decision tree via feature concatenation
2025 · Shen-Huan Lyu, Yi-Xiao He, et al. · Information Sciences · 2
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Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
2025 · Tian-Shuang tian Wu, Shen-Huan Lyu, et al. · SSRN Electronic Journal · 2
Test-Time Scaling via Budgeted Multi-Attribute Verification
2026 · Xue, Bo, Cheng, Ji, et al. · arXiv (Cornell University) · 1
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Feature Map Compression for Split Learning in Mobile Wireless Environment: Theory and Practice
2026 · Wenxuan Zhou, Zhihao Qu, et al. · IEEE Transactions on Mobile Computing · 1
Enhance and reuse: A dual-mechanism approach to boost deep forest for label distribution learning
2026 · Jia-Le Xu, Shen-Huan Lyu, et al. · Pattern Recognition · 1
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CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
2026 · Wang, Yu-Nian, Lyu, Shen-Huan, et al. · arXiv (Cornell University) · 1
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Compressing model with few class-imbalance samples: An out-of-distribution expedition
2026 · Tian-Shuang Wu, Shen-Huan Lyu, et al. · Pattern Recognition Letters · 1
Time-Efficient Identifying Key Tag Distribution in Large-Scale RFID Systems
2025 · Yanyan Wang, Jia Liu, et al. · IEEE Transactions on Mobile Computing · 1
Learning Semantic Boundaries: An Adaptive Structural Loss for Multi-Label Contrastive Learning
2025 · Ning Chen, Shen-Huan Lyu, et al. · International Conference on Intelligent Perception and Pattern Recognition (IPPR) · 1
Theoretical Investigation on Inductive Bias of Isolation Forest
2025 · Zheng, Qin-Cheng, Zhang, Shao-Qun, et al. · arXiv (Cornell University) · 1
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The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest
2024 · Shen-Huan Lyu, Jin-Hui Wu, et al. · Frontiers in artificial intelligence and applications · 1
Works count: 32
Citation count: 101
H-index: 6
I10-index: 3
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