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2020 – today
- 2025
[j26]Jiabao Wang, Yusheng Cheng
:
Incorporating view location information for multi-view multi-label learning. Appl. Soft Comput. 168: 112565 (2025)- 2024
- [j25]Yusheng Cheng, Yuting Xu, Wenxin Ge:
Multi-view multi-label learning for label-specific features via GLocal Shared Subspace Learning. Appl. Intell. 54(21): 11054-11067 (2024) - [j24]Yibin Wang, Qing Zhu, Yusheng Cheng:
Hierarchical classification with exponential weighting of multi-granularity paths. Inf. Sci. 675: 120715 (2024) - [j23]Wenxin Ge, Yibin Wang, Yuting Xu, Yusheng Cheng:
Causality-Driven Intra-class Non-equilibrium Label-Specific Features Learning. Neural Process. Lett. 56(2): 120 (2024) - [j22]Qingyan Li, Yusheng Cheng:
Multi-view Multi-label Learning with Shared Features Inconsistency. Neural Process. Lett. 56(3): 182 (2024) - 2023
- [j21]Kun Qian, Xue-Yang Min, Yusheng Cheng, Guojie Song, Fan Min:
Self-dependence multi-label learning with double k for missing labels. Artif. Intell. Rev. 56(6): 5057-5094 (2023) - [j20]Kun Qian, Xue-Yang Min, Yusheng Cheng, Fan Min:
Weight matrix sharing for multi-label learning. Pattern Recognit. 136: 109156 (2023) - [j19]Jiali Miao, Yibin Wang, Yusheng Cheng, Fei Chen:
Parallel dual-channel multi-label feature selection. Soft Comput. 27(11): 7115-7130 (2023) - 2022
- [j18]Jiachao Bao, Yibin Wang, Yusheng Cheng:
Asymmetry label correlation for multi-label learning. Appl. Intell. 52(6): 6093-6105 (2022) - [j17]Chao Zhang, Yusheng Cheng, Yibin Wang, Yuting Xu:
Interactive Causal Correlation Space Reshape for Multi-Label Classification. Int. J. Interact. Multim. Artif. Intell. 7(5): 109 (2022) - [j16]Yusheng Cheng, Qingyan Li, Yibin Wang, Weijie Zheng:
Multi-view multi-label learning with view feature attention allocation. Neurocomputing 501: 857-874 (2022) - [j15]Yusheng Cheng, Kun Qian, Fan Min:
Global and local attention-based multi-label learning with missing labels. Inf. Sci. 594: 20-42 (2022) - [j14]Yusheng Cheng, Chao Zhang, Shufang Pang:
Multi-label space reshape for semantic-rich label-specific features learning. Int. J. Mach. Learn. Cybern. 13(4): 1005-1019 (2022) - 2021
- [j13]Yusheng Cheng, Fan Song, Kun Qian:
Missing multi-label learning with non-equilibrium based on two-level autoencoder. Appl. Intell. 51(10): 6997-7015 (2021) - [j12]Yibin Wang, Weijie Zheng, Yusheng Cheng, Dawei Zhao:
Two-level label recovery-based label embedding for multi-label classification with missing labels. Appl. Soft Comput. 99: 106868 (2021) - [j11]Yusheng Cheng, Kai Ma, Haitao Li, Shilin Sun, Yichuan Wang:
Spectral line extraction based on ant-colony algorithm. EURASIP J. Adv. Signal Process. 2021(1): 113 (2021) - [j10]Dawei Zhao, Qingwei Gao, Yixiang Lu, Dong Sun, Yusheng Cheng:
Consistency and diversity neural network multi-view multi-label learning. Knowl. Based Syst. 218: 106841 (2021) - [j9]Lulu Zhang, Yusheng Cheng, Yibin Wang, Gensheng Pei:
Feature-label dual-mapping for missing label-specific features learning. Soft Comput. 25(14): 9307-9323 (2021) - 2020
- [j8]Yusheng Cheng, Kun Qian, Yibin Wang, Dawei Zhao:
Missing multi-label learning with non-equilibrium based on classification margin. Appl. Soft Comput. 86 (2020) - [j7]Yibin Wang, Weijie Zheng, Yusheng Cheng, Dawei Zhao:
Joint label completion and label-specific features for multi-label learning algorithm. Soft Comput. 24(9): 6553-6569 (2020)
2010 – 2019
- 2019
- [j6]Gensheng Pei, Yibin Wang, Yusheng Cheng, Lulu Zhang:
Joint Label-Density-Margin Space and Extreme Elastic Net for Label-Specific Features. IEEE Access 7: 112304-112317 (2019) - [j5]Yu Li, Yusheng Cheng:
Streaming Feature Selection for Multi-Label Data with Dynamic Sliding Windows and Feature Repulsion Loss. Entropy 21(12): 1151 (2019) - [j4]Yusheng Cheng, Dawei Zhao, Yibin Wang, Gensheng Pei:
Multi-label learning with kernel extreme learning machine autoencoder. Knowl. Based Syst. 178: 1-10 (2019) - [c5]Zongtang Zhang, Zhe Chen, Weiguo Dai, Yusheng Cheng:
An Over-sampling Method Based on Margin Theory. ICMLC 2019: 506-510 - 2018
- [j3]Yusheng Cheng, Zhao Dawei, Wenfa Zhan, Yibin Wang:
Multi-label learning of non-equilibrium labels completion with mean shift. Neurocomputing 321: 92-102 (2018) - 2015
- [j2]Yusheng Cheng, Wenfa Zhan, Xindong Wu, Yuzhou Zhang:
Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model. Inf. Sci. 290: 72-85 (2015) - 2014
- [j1]Yusheng Cheng, Mei-wen Ding, Ye-mao Xia, Wenfa Zhan:
Bayesian Analysis for Dynamic Generalized Linear Latent Model with Application to Tree Survival Rate. J. Appl. Math. 2014: 783494:1-783494:8 (2014) - 2012
- [c4]Zhizhong Li, Haibin Zhao, Qiuliang Shi, Yusheng Cheng, Qijun Liu:
A New Optical Fiber Bragg Grating Dynamic Signal Demodulation Method Based on Work-Point Controlling. ICDMA 2012: 105-107
2000 – 2009
- 2007
- [c3]Yusheng Cheng, Yousheng Zhang, Xuegang Hu, Xiaoyao Jiang:
Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge. PAKDD 2007: 457-464 - 2006
- [c2]Yusheng Cheng, Yousheng Zhang, Xuegang Hu:
The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model. RSKT 2006: 122-128 - 2004
- [c1]Maokuan Li, Yusheng Cheng, Honghai Zhao:
Unlabeled Data Classification via Support Vector Machines and k-means Clustering. CGIV 2004: 183-186
Coauthor Index
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