Yusheng Cheng

Orcid: 0000-0002-6562-1153

According to our database1, Yusheng Cheng authored at least 30 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-view multi-label learning for label-specific features via GLocal Shared Subspace Learning.
Appl. Intell., November, 2024

Multi-view Multi-label Learning with Shared Features Inconsistency.
Neural Process. Lett., June, 2024

Causality-Driven Intra-class Non-equilibrium Label-Specific Features Learning.
Neural Process. Lett., April, 2024

Hierarchical classification with exponential weighting of multi-granularity paths.
Inf. Sci., 2024

2023
Parallel dual-channel multi-label feature selection.
Soft Comput., June, 2023

Self-dependence multi-label learning with double k for missing labels.
Artif. Intell. Rev., June, 2023

Weight matrix sharing for multi-label learning.
Pattern Recognit., April, 2023

2022
Multi-label space reshape for semantic-rich label-specific features learning.
Int. J. Mach. Learn. Cybern., 2022

Global and local attention-based multi-label learning with missing labels.
Inf. Sci., 2022

Multi-view multi-label learning with view feature attention allocation.
Neurocomputing, 2022

Interactive Causal Correlation Space Reshape for Multi-Label Classification.
Int. J. Interact. Multim. Artif. Intell., 2022

Asymmetry label correlation for multi-label learning.
Appl. Intell., 2022

2021
Feature-label dual-mapping for missing label-specific features learning.
Soft Comput., 2021

Consistency and diversity neural network multi-view multi-label learning.
Knowl. Based Syst., 2021

Spectral line extraction based on ant-colony algorithm.
EURASIP J. Adv. Signal Process., 2021

Two-level label recovery-based label embedding for multi-label classification with missing labels.
Appl. Soft Comput., 2021

Missing multi-label learning with non-equilibrium based on two-level autoencoder.
Appl. Intell., 2021

2020
Joint label completion and label-specific features for multi-label learning algorithm.
Soft Comput., 2020

Missing multi-label learning with non-equilibrium based on classification margin.
Appl. Soft Comput., 2020

2019
Multi-label learning with kernel extreme learning machine autoencoder.
Knowl. Based Syst., 2019

Streaming Feature Selection for Multi-Label Data with Dynamic Sliding Windows and Feature Repulsion Loss.
Entropy, 2019

Joint Label-Density-Margin Space and Extreme Elastic Net for Label-Specific Features.
IEEE Access, 2019

An Over-sampling Method Based on Margin Theory.
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.
Neurocomputing, 2018

2015
Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model.
Inf. Sci., 2015

2014
Bayesian Analysis for Dynamic Generalized Linear Latent Model with Application to Tree Survival Rate.
J. Appl. Math., 2014

2012
A New Optical Fiber Bragg Grating Dynamic Signal Demodulation Method Based on Work-Point Controlling.
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.
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.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

2004
Unlabeled Data Classification via Support Vector Machines and k-means Clustering.
Proceedings of the 2004 International Conference on Computer Graphic, 2004


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