Unlabeled Data Classification via Support Vector Machines and k-means Clustering. - Maokuan Li; Yusheng Cheng; Honghai Zhao (CGIV, 2004)

The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model. - Yusheng Cheng; Yousheng Zhang; Xuegang Hu (RSKT, 2006)

Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge. - Yusheng Cheng; Yousheng Zhang; Xuegang Hu; Xiaoyao Jiang (PAKDD, 2007)

A New Optical Fiber Bragg Grating Dynamic Signal Demodulation Method Based on Work-Point Controlling. - Zhizhong Li 005; Haibin Zhao; Qiuliang Shi; Yusheng Cheng; Qijun Liu (ICDMA, 2012)

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)

Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model. - Yusheng Cheng; Wenfa Zhan; Xindong Wu 001; Yuzhou Zhang (Inf. Sci., 2015)

Multi-label learning of non-equilibrium labels completion with mean shift. - Yusheng Cheng; Zhao Dawei; Wenfa Zhan; Yibin Wang 002 (Neurocomputing, 2018)

An Over-sampling Method Based on Margin Theory. - Zongtang Zhang; Zhe Chen; Weiguo Dai; Yusheng Cheng (ICMLC, 2019)

Joint Label-Density-Margin Space and Extreme Elastic Net for Label-Specific Features. - Gensheng Pei; Yibin Wang 002; Yusheng Cheng; Lulu Zhang (IEEE Access, 2019)

Streaming Feature Selection for Multi-Label Data with Dynamic Sliding Windows and Feature Repulsion Loss. - Yu Li; Yusheng Cheng (Entropy, 2019)

Multi-label learning with kernel extreme learning machine autoencoder. - Yusheng Cheng; Dawei Zhao 002; Yibin Wang 002; Gensheng Pei (Knowl. Based Syst., 2019)

Missing multi-label learning with non-equilibrium based on classification margin. - Yusheng Cheng; Kun Qian 011; Yibin Wang 002; Dawei Zhao 002 (Appl. Soft Comput., 2020)

Joint label completion and label-specific features for multi-label learning algorithm. - Yibin Wang 002; Weijie Zheng 002; Yusheng Cheng; Dawei Zhao 002 (Soft Comput., 2020)

Missing multi-label learning with non-equilibrium based on two-level autoencoder. - Yusheng Cheng; Fan Song; Kun Qian 011 (Appl. Intell., 2021)

Two-level label recovery-based label embedding for multi-label classification with missing labels. - Yibin Wang 002; Weijie Zheng 002; Yusheng Cheng; Dawei Zhao 002 (Appl. Soft Comput., 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)

Consistency and diversity neural network multi-view multi-label learning. - Dawei Zhao 002; Qingwei Gao; Yixiang Lu; Dong Sun 003; Yusheng Cheng (Knowl. Based Syst., 2021)

Feature-label dual-mapping for missing label-specific features learning. - Lulu Zhang; Yusheng Cheng; Yibin Wang 002; Gensheng Pei (Soft Comput., 2021)

Asymmetry label correlation for multi-label learning. - Jiachao Bao; Yibin Wang 002; Yusheng Cheng (Appl. Intell., 2022)

Interactive Causal Correlation Space Reshape for Multi-Label Classification. - Chao Zhang; Yusheng Cheng; Yibin Wang 002; Yuting Xu (Int. J. Interact. Multim. Artif. Intell., 2022)

Multi-view multi-label learning with view feature attention allocation. - Yusheng Cheng; Qingyan Li; Yibin Wang 002; Weijie Zheng 002 (Neurocomputing, 2022)

Global and local attention-based multi-label learning with missing labels. - Yusheng Cheng; Kun Qian 011; Fan Min 001 (Inf. Sci., 2022)

Multi-label space reshape for semantic-rich label-specific features learning. - Yusheng Cheng; Chao Zhang; Shufang Pang (Int. J. Mach. Learn. Cybern., 2022)

Weight matrix sharing for multi-label learning. - Kun Qian 011; Xue-Yang Min; Yusheng Cheng; Fan Min 001 (Pattern Recognit., 2023)

Self-dependence multi-label learning with double k for missing labels. - Kun Qian 011; Xue-Yang Min; Yusheng Cheng; Guojie Song; Fan Min 001 (Artif. Intell. Rev., 2023)

Parallel dual-channel multi-label feature selection. - Jiali Miao; Yibin Wang 002; Yusheng Cheng; Fei Chen (Soft Comput., 2023)

Hierarchical classification with exponential weighting of multi-granularity paths. - Yibin Wang 011; Qing Zhu; Yusheng Cheng (Inf. Sci., 2024)

Causality-Driven Intra-class Non-equilibrium Label-Specific Features Learning. - Wenxin Ge; Yibin Wang 002; Yuting Xu; Yusheng Cheng (Neural Process. Lett., 2024)

Multi-view Multi-label Learning with Shared Features Inconsistency. - Qingyan Li; Yusheng Cheng (Neural Process. Lett., 2024)

Multi-view multi-label learning for label-specific features via GLocal Shared Subspace Learning. - Yusheng Cheng; Yuting Xu; Wenxin Ge (Appl. Intell., 2024)

Incorporating view location information for multi-view multi-label learning. - Jiabao Wang; Yusheng Cheng (Appl. Soft Comput., 2025)

A global and local unified feature selection algorithm based on hierarchical structure constraints. - Yibin Wang; Xinru Zhang; Yusheng Cheng (Expert Syst. Appl., 2025)

Focal weighting strategy with multi-label multi-scale granularity-aware for out-of-distribution detection. - Xin Peng; Yifei Cheng; Yusheng Cheng (Appl. Intell., 2025)