Zuyuan Yang

Orcid: 0000-0003-3646-2066

According to our database1, Zuyuan Yang authored at least 82 papers between 2006 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Reliable Federated Multi-View Learning for Heterogeneous Information Fusion in Mobile Edge Computing.
IEEE Trans. Mob. Comput., May, 2026

Pano360: Perspective to Panoramic Vision with Geometric Consistency.
CoRR, March, 2026

Discrepancy-Aware Contrastive Multi-View Representation Fusion With Truncated Cross Attention for Mitigating Performance Degeneration.
IEEE Trans. Netw. Sci. Eng., 2026

Localization Graph Generation Based Matrix Factorization for Incomplete Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput., 2026

Multi-view clustering for non-line-of-sight imaging with neighborhood consistency reweighting.
Neurocomputing, 2026

Hierarchical metering data imputation with multi-view learning for accurate electricity consumption prediction.
Eng. Appl. Artif. Intell., 2026

2025
Optimizing AIGC Services Using Learning-Based Stackelberg Game in Vehicular Metaverses.
IEEE Trans. Veh. Technol., July, 2025

Reliable Aerial-Computing-Assisted Digital Twin for Cognitive IoT: A Hierarchical Game Approach.
IEEE Internet Things J., May, 2025

Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Cluster Guided Truncated Hashing for Enhanced Approximate Nearest Neighbor Search.
IEEE Signal Process. Lett., 2025

FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Incomplete multi-view clustering via diffusion completion.
Multim. Tools Appl., May, 2024

Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise.
IEEE Trans. Big Data, February, 2024

Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering.
Neural Networks, 2024

Partially shared federated multiview learning.
Knowl. Based Syst., 2024

SFCSA-YOLO: Scale Fusion and Channel Standard-deviation Attention Based YOLO for Skin Lesion Segmentation.
Proceedings of the 6th International Conference on Internet of Things, 2024

2023
A method of smoothing laser spot deformation.
Vis. Comput., December, 2023

Exclusivity and consistency induced NMF for multi-view representation learning.
Knowl. Based Syst., December, 2023

Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion.
IEEE Trans. Knowl. Data Eng., June, 2023

Semi-supervised multi-view clustering by label relaxation based non-negative matrix factorization.
Vis. Comput., April, 2023

A convergence algorithm for graph co-regularized transfer learning.
Sci. China Inf. Sci., March, 2023

Spot Detection for Laser Sensors Based on Annular Convolution Filtering.
Sensors, 2023

Auto-weighted collective matrix factorization with graph dual regularization for multi-view clustering.
Knowl. Based Syst., 2023

2022
Accelerated Log-Regularized Convolutional Transform Learning and Its Convergence Guarantee.
IEEE Trans. Cybern., 2022

Incomplete Multiview Clustering With Cross-View Feature Transformation.
IEEE Trans. Artif. Intell., 2022

Edge detection with attention: From global view to local focus.
Pattern Recognit. Lett., 2022

Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization.
Inf. Process. Manag., 2022

Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification.
Neurocomputing, 2022

A Converged Deep Graph Semi-NMF Algorithm for Learning Data Representation.
Circuits Syst. Signal Process., 2022

Semi-supervised multi-view binary learning for large-scale image clustering.
Appl. Intell., 2022

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization.
Appl. Intell., 2022

2021
Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering.
IEEE Trans. Cybern., 2021

Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization.
Knowl. Based Syst., 2021

A fast DC-based dictionary learning algorithm with the SCAD penalty.
Neurocomputing, 2021

Co-attention fusion based deep neural network for Chinese medical answer selection.
Appl. Intell., 2021

2020
Non-Negative Matrix Factorization With Dual Constraints for Image Clustering.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization.
Knowl. Based Syst., 2020

Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints.
Knowl. Based Syst., 2020

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.
CoRR, 2020

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Computing Resource Trading for Edge-Cloud-Assisted Internet of Things.
IEEE Trans. Ind. Informatics, 2019

Under-Determined Convolutive Blind Source Separation Combining Density-Based Clustering and Sparse Reconstruction in Time-Frequency Domain.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Credit-Based Payments for Fast Computing Resource Trading in Edge-Assisted Internet of Things.
IEEE Internet Things J., 2019

Nonnegative Matrix Factorization with Fixed L2-Norm Constraint.
Circuits Syst. Signal Process., 2019

Estimating Number of Speakers via Density-Based Clustering and Classification Decision.
IEEE Access, 2019

Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering.
IEEE Access, 2019

2018
Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Manifold optimization-based analysis dictionary learning with an ℓ1∕2-norm regularizer.
Neural Networks, 2018

Sparse Gene Coexpression Network Analysis Reveals EIF3J-AS1 as a Prognostic Marker for Breast Cancer.
Complex., 2018

A Novel Regularized Nonnegative Matrix Factorization for Spectral-Spatial Dimension Reduction of Hyperspectral Imagery.
IEEE Access, 2018

Overcomplete Transform Learning With the log Regularizer.
IEEE Access, 2018

2017
Adaptive Method for Nonsmooth Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2017

A novel regularized concept factorization for document clustering.
Knowl. Based Syst., 2017

Blind Source Separation: Detecting Unknown Sources Number In Covariance Domain.
Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017

An Improved Precoding Method for Blind Separation of Spatially Correlated Signals.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
A Fast Non-Smooth Nonnegative Matrix Factorization for Learning Sparse Representation.
IEEE Access, 2016

2015
A Convex Geometry-Based Blind Source Separation Method for Separating Nonnegative Sources.
IEEE Trans. Neural Networks Learn. Syst., 2015

On the Security of Compressed Sensing-Based Signal Cryptosystem.
IEEE Trans. Emerg. Top. Comput., 2015

An Efficient MAC Protocol With Adaptive Energy Harvesting for Machine-to-Machine Networks.
IEEE Access, 2015

Spectral unmixing based on nonnegative matrix factorization with local smoothness constraint.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014
Image encryption based on compressed sensing and blind source separation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An improved particle swarm optimization algorithm based on simulated annealing.
Proceedings of the 10th International Conference on Natural Computation, 2014

An improved particle swarm optimization method based on chaos.
Proceedings of the 10th International Conference on Natural Computation, 2014

2013
Projection-Pursuit-Based Method for Blind Separation of Nonnegative Sources.
IEEE Trans. Neural Networks Learn. Syst., 2013

Particle swarm optimization based on adaptive mutation and diminishing inerita weights.
Proceedings of the Ninth International Conference on Natural Computation, 2013

An improved particle swarm optimization algorithm.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure.
IEEE Trans. Neural Networks Learn. Syst., 2012

2011
Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint.
IEEE Trans. Neural Networks, 2011

Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources.
IEEE Trans. Neural Networks, 2011

Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts.
IEEE Trans. Neural Networks, 2011

Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization.
IEEE Trans. Image Process., 2011

Maximum contrast analysis for nonnegative blind source separation.
Comput. Math. Appl., 2011

2010
Blind Source Separation by Fully Nonnegative Constrained Iterative Volume Maximization.
IEEE Signal Process. Lett., 2010

2009
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers.
IEEE Trans. Neural Networks, 2009

On Blind Separability Based on the Temporal Predictability Method.
Neural Comput., 2009

Blind Extraction Using Fractional Lower-Order Statistics.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
Nonnegative Matrix Factorization Applied to Nonlinear Speech and Image Cryptosystems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Adaptive blind separation of underdetermined mixtures based on sparse component analysis.
Sci. China Ser. F Inf. Sci., 2008

2007
An Adaptive Transmission Control Scheme Based on TCP Vegas in MANETs.
Proceedings of the Mobile Ad-Hoc and Sensor Networks, Third International Conference, 2007

Extension Neural Network Based on Immune Algorithm for Fault Diagnosis.
Proceedings of the Advances in Neural Networks, 2007

2006
Prediction for Chaotic Time Series Based on Discrete Volterra Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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