Yusheng Cheng

According to our database, Yusheng Cheng authored at least 35 papers between 2004 and 2026.

Collaborative distances:

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

2026

Hierarchical coarse-grained partitioning driven by the synergy between label semantic compression and skewed distribution characteristics.

Hongfei Sun, Yusheng Cheng

Expert Syst. Appl., 2026

2025

Focal weighting strategy with multi-label multi-scale granularity-aware for out-of-distribution detection.

Xin Peng, Yifei Cheng, Yusheng Cheng

Appl. Intell., July, 2025

Digital technologies in psoriasis management: from precision diagnosis to therapeutic innovation and holistic care.

Zhenni Gong, Yusheng Cheng, Xi Wei, Yicheng Zhang, Weihao Cheng, Tao Sun, Su Liang, Xue Wang

Frontiers Digit. Health, 2025

A global and local unified feature selection algorithm based on hierarchical structure constraints.

Yibin Wang, Xinru Zhang, Yusheng Cheng

Expert Syst. Appl., 2025

Incorporating view location information for multi-view multi-label learning.

Jiabao Wang, Yusheng Cheng

Appl. Soft Comput., 2025

2024

Multi-view multi-label learning for label-specific features via GLocal Shared Subspace Learning.

Yusheng Cheng, Yuting Xu, Wenxin Ge

Appl. Intell., November, 2024

Multi-view Multi-label Learning with Shared Features Inconsistency.

Qingyan Li, Yusheng Cheng

Neural Process. Lett., June, 2024

Causality-Driven Intra-class Non-equilibrium Label-Specific Features Learning.

Wenxin Ge, Yibin Wang, Yuting Xu, Yusheng Cheng

Neural Process. Lett., April, 2024

Hierarchical classification with exponential weighting of multi-granularity paths.

Yibin Wang, Qing Zhu, Yusheng Cheng

Inf. Sci., 2024

2023

Parallel dual-channel multi-label feature selection.

Jiali Miao, Yibin Wang, Yusheng Cheng, Fei Chen

Soft Comput., June, 2023

Self-dependence multi-label learning with double k for missing labels.

Kun Qian, Xue-Yang Min, Yusheng Cheng, Guojie Song, Fan Min

Artif. Intell. Rev., June, 2023

Weight matrix sharing for multi-label learning.

Kun Qian, Xue-Yang Min, Yusheng Cheng, Fan Min

Pattern Recognit., April, 2023

2022

Multi-label space reshape for semantic-rich label-specific features learning.

Yusheng Cheng, Chao Zhang, Shufang Pang

Int. J. Mach. Learn. Cybern., 2022

Global and local attention-based multi-label learning with missing labels.

Yusheng Cheng, Kun Qian, Fan Min

Inf. Sci., 2022

Multi-view multi-label learning with view feature attention allocation.

Yusheng Cheng, Qingyan Li, Yibin Wang, Weijie Zheng

Neurocomputing, 2022

Interactive Causal Correlation Space Reshape for Multi-Label Classification.

Chao Zhang, Yusheng Cheng, Yibin Wang, Yuting Xu

Int. J. Interact. Multim. Artif. Intell., 2022

Asymmetry label correlation for multi-label learning.

Jiachao Bao, Yibin Wang, Yusheng Cheng

Appl. Intell., 2022

2021

Feature-label dual-mapping for missing label-specific features learning.

Lulu Zhang, Yusheng Cheng, Yibin Wang, Gensheng Pei

Soft Comput., 2021

Consistency and diversity neural network multi-view multi-label learning.

Dawei Zhao, Qingwei Gao, Yixiang Lu, Dong Sun, Yusheng Cheng

Knowl. Based Syst., 2021

Spectral line extraction based on ant-colony algorithm.

Yusheng Cheng, Kai Ma, Haitao Li, Shilin Sun, Yichuan Wang

EURASIP J. Adv. Signal Process., 2021

Two-level label recovery-based label embedding for multi-label classification with missing labels.

Yibin Wang, Weijie Zheng, Yusheng Cheng, Dawei Zhao

Appl. Soft Comput., 2021

Missing multi-label learning with non-equilibrium based on two-level autoencoder.

Yusheng Cheng, Fan Song, Kun Qian

Appl. Intell., 2021

2020

Joint label completion and label-specific features for multi-label learning algorithm.

Yibin Wang, Weijie Zheng, Yusheng Cheng, Dawei Zhao

Soft Comput., 2020

Missing multi-label learning with non-equilibrium based on classification margin.

Yusheng Cheng, Kun Qian, Yibin Wang, Dawei Zhao

Appl. Soft Comput., 2020

2019

Multi-label learning with kernel extreme learning machine autoencoder.

Yusheng Cheng, Dawei Zhao, Yibin Wang, Gensheng Pei

Knowl. Based Syst., 2019

Streaming Feature Selection for Multi-Label Data with Dynamic Sliding Windows and Feature Repulsion Loss.

Yu Li, Yusheng Cheng

Entropy, 2019

Joint Label-Density-Margin Space and Extreme Elastic Net for Label-Specific Features.

Gensheng Pei, Yibin Wang, Yusheng Cheng, Lulu Zhang

IEEE Access, 2019

An Over-sampling Method Based on Margin Theory.

Zongtang Zhang, Zhe Chen, Weiguo Dai, Yusheng Cheng

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018

Multi-label learning of non-equilibrium labels completion with mean shift.

Yusheng Cheng, Zhao Dawei, Wenfa Zhan, Yibin Wang

Neurocomputing, 2018

2015

Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model.

Yusheng Cheng, Wenfa Zhan, Xindong Wu, Yuzhou Zhang

Inf. Sci., 2015

2014

Bayesian Analysis for Dynamic Generalized Linear Latent Model with Application to Tree Survival Rate.

Yusheng Cheng, Mei-wen Ding, Ye-mao Xia, Wenfa Zhan

J. Appl. Math., 2014

2012

A New Optical Fiber Bragg Grating Dynamic Signal Demodulation Method Based on Work-Point Controlling.

Zhizhong Li, Haibin Zhao, Qiuliang Shi, Yusheng Cheng, Qijun Liu

Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

2007

Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge.

Yusheng Cheng, Yousheng Zhang, Xuegang Hu, Xiaoyao Jiang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006

The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model.

Yusheng Cheng, Yousheng Zhang, Xuegang Hu

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

2004

Unlabeled Data Classification via Support Vector Machines and k-means Clustering.

Maokuan Li, Yusheng Cheng, Honghai Zhao

Proceedings of the 2004 International Conference on Computer Graphic, 2004