Yanfeng Sun

Orcid: 0000-0002-0872-384X

According to our database1, Yanfeng Sun authored at least 178 papers between 1994 and 2024.

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

Timeline

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Bibliography

2024
A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Fair Attention Network for Robust Visual Question Answering.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification.
Appl. Intell., September, 2024

Context-aware relation enhancement and similarity reasoning for image-text retrieval.
IET Comput. Vis., August, 2024

Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification.
ACM Trans. Knowl. Discov. Data, May, 2024

Parallelly Adaptive Graph Convolutional Clustering Model.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

MBMF: Constructing memory banks of multi-scale features for anomaly detection.
IET Comput. Vis., April, 2024

Channel-Resilient RF Fingerprint Identification Based on Nonlinear Features With Memory Effect.
IEEE Commun. Lett., April, 2024

See and Learn More: Dense Caption-Aware Representation for Visual Question Answering.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

A plug-and-play image enhancement model for end-to-end object detection in low-light condition.
Multim. Syst., February, 2024

Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks.
Neural Networks, January, 2024

Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.
Neural Networks, 2024

Contrastive optimized graph convolution network for traffic forecasting.
Neurocomputing, 2024

Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification.
CoRR, 2024

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations.
CoRR, 2024

Improved Attributed Graph Clustering with Representation and Structure Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

VIG: Visual Information-Guided Knowledge-Based Visual Question Answering.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Graph Neural Networks with Soft Association between Topology and Attribute.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Genetic Algorithm Service Vulnerability Mining Technology of Android System.
Scalable Comput. Pract. Exp., November, 2023

A subgraph sampling method for training large-scale graph convolutional network.
Inf. Sci., November, 2023

A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration.
Neurocomputing, November, 2023

Domain Adaptation as Optimal Transport on Grassmann Manifolds.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hierarchical Graph Convolutional Networks for Structured Long Document Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Multi-level attention for referring expression comprehension.
Pattern Recognit. Lett., August, 2023

A multi-scale feature representation and interaction network for underwater object detection.
IET Comput. Vis., April, 2023

Robust discriminant analysis with feature selective projection and between-classes structural incoherence.
Digit. Signal Process., April, 2023

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

SACNet: Shuffling atrous convolutional U-Net for medical image segmentation.
IET Image Process., March, 2023

PASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds.
Comput. Aided Des., March, 2023

Principal component analysis based on graph embedding.
Multim. Tools Appl., February, 2023

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision.
Neural Networks, January, 2023

Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Text Classification with Semantically Extended Textual Entailment.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2022

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization.
IEEE Trans. Image Process., 2022

Probabilistic Linear Discriminant Analysis Based on L<sub>1</sub>-Norm and Its Bayesian Variational Inference.
IEEE Trans. Cybern., 2022

Adaptive graph convolutional clustering network with optimal probabilistic graph.
Neural Networks, 2022

Cross-modal alignment with graph reasoning for image-text retrieval.
Multim. Tools Appl., 2022

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.
J. Vis. Commun. Image Represent., 2022

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting.
IEEE Intell. Transp. Syst. Mag., 2022

Adversarially regularized joint structured clustering network.
Inf. Sci., 2022

Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds.
Inf. Sci., 2022

Globality constrained adaptive graph regularized non-negative matrix factorization for data representation.
IET Image Process., 2022

Robust Graph Convolutional Clustering With Adaptive Graph Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hierarchical Multiple Granularity Attention Network for Long Document Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Global-Local Cascade Network for Multi-bone Segmentation in Chest CT.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2021

Robust CAPTCHAs Towards Malicious OCR.
IEEE Trans. Multim., 2021

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.
IEEE Trans. Multim., 2021

Robust Image Representation via Low Rank Locality Preserving Projection.
ACM Trans. Knowl. Discov. Data, 2021

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

AKM<sup>3</sup>C: Adaptive K-Multiple-Means for Multi-View Clustering.
IEEE Trans. Circuits Syst. Video Technol., 2021

Non-parametric Bayesian dictionary learning based on Laplace noise.
Multim. Tools Appl., 2021

Kronecker-decomposable robust probabilistic tensor discriminant analysis.
Inf. Sci., 2021

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser.
IET Comput. Vis., 2021

Attributed Non-negative Matrix Multi-factorization for Data Representation.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Hierarchical Attention Transformer Networks for Long Document Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Hierarchical Graph Convolution Network for Traffic Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.
ACM Trans. Knowl. Discov. Data, 2020

Locality preserving projection based on Euler representation.
J. Vis. Commun. Image Represent., 2020

Adversarial Privacy-preserving Filter.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Variational Deep Embedding Clustering by Augmented Mutual Information Maximization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data.
IEEE Trans. Neural Networks Learn. Syst., 2019

Solving Partial Least Squares Regression via Manifold Optimization Approaches.
IEEE Trans. Neural Networks Learn. Syst., 2019

Tensorizing Restricted Boltzmann Machine.
ACM Trans. Knowl. Discov. Data, 2019

Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning.
ACM Trans. Knowl. Discov. Data, 2019

blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness.
CoRR, 2019

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder.
IEEE Access, 2019

Multi-View Subspace Clustering With Block Diagonal Representation.
IEEE Access, 2019

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

L1 norm based double-prior learning for image denoising.
Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019

Application of A-Priori Algorithm in Vibration Fault Diagnosis for Rotary Machinery.
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.
IEEE Trans. Neural Networks Learn. Syst., 2018

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds.
ACM Trans. Knowl. Discov. Data, 2018

Localized LRR on Grassmann Manifold: An Extrinsic View.
IEEE Trans. Circuits Syst. Video Technol., 2018

Low Rank Representation on SPD matrices with Log-Euclidean metric.
Pattern Recognit., 2018

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.
Neurocomputing, 2018

A Financial Embedded Vector Model and Its Applications to Time Series Forecasting.
Int. J. Comput. Commun. Control, 2018

Attention, Please! Adversarial Defense via Attention Rectification and Preservation.
CoRR, 2018

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Locality Preserving Projection Based on F-norm.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance.
IEEE Trans. Circuits Syst. Video Technol., 2017

Localized LRR on Grassmann Manifolds: An Extrinsic View.
CoRR, 2017

Locality Preserving Projections for Grassmann manifold.
CoRR, 2017

Matrix variate RBM model with Gaussian distributions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Locality Preserving Projections for Grassmann manifold.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

L1-2DPCA Revisit via Optimization on Product Manifolds.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Fisher discrimination-based l<sub>2, 1</sub>-norm sparse representation for face recognition.
Vis. Comput., 2016

Ordered Subspace Clustering With Block-Diagonal Priors.
IEEE Trans. Cybern., 2016

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A novel edge detection approach using a fusion model.
Multim. Tools Appl., 2016

Nonparametric tensor dictionary learning with beta process priors.
Neurocomputing, 2016

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance.
CoRR, 2016

Kernelized LRR on Grassmann Manifolds for Subspace Clustering.
CoRR, 2016

Matrix Variate RBM and Its Applications.
CoRR, 2016

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis.
CoRR, 2016

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications.
CoRR, 2016

Matrix Variate Restricted Boltzmann Machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Product Grassmann Manifold Representation and Its LRR Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.
IEEE Trans. Image Process., 2015

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective.
CoRR, 2015

Kernelized Low Rank Representation on Grassmann Manifolds.
CoRR, 2015

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation.
CoRR, 2015

2014
Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling.
Sensors, 2014

Color face recognition based on color image correlation similarity discriminant model.
Multim. Tools Appl., 2014

Expansion of 3D face sample set based on genetic algorithm.
Multim. Tools Appl., 2014

Dimensionality reduction assisted tensor clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Joint multiple dictionary learning for Tensor sparse coding.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Blocky artifact removal with low-rank matrix recovery.
Proceedings of the IEEE International Conference on Acoustics, 2014

Low Rank Representation on Grassmann Manifolds.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
3D face recognition using local binary patterns.
Signal Process., 2013

A hierarchical dense deformable model for 3D face reconstruction from skull.
Multim. Tools Appl., 2013

Nodes Location Method Based on Correlation Analysis in WSN.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

A robust sparse representation framework for depth map restoration.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Efficient Data Gathering in Wireless Sensor Networks Based on Low Rank Approximation.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

Endmember Extraction by Exemplar Finder.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Craniofacial reconstruction based on a hierarchical dense deformable model.
EURASIP J. Adv. Signal Process., 2012

An Automatic Multi-sample 3D Face Registration Method Based on Thin Plate Spline and Deformable Model.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2011
3D face recognition based on sparse representation.
J. Supercomput., 2011

Mixed 2D-3D Information for Face Recognition.
Trans. Edutainment, 2011

3D Face Texture Stitching Based on Differential Coordinates.
Trans. Edutainment, 2011

Color face recognition based on quaternion matrix representation.
Pattern Recognit. Lett., 2011

3D Novel Face Sample Modeling for Face Recognition.
J. Multim., 2011

Adaptive intra modes reduction by clustering for H.264/AVC.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

SEMD Based Sparse Gabor Representation for Eyeglasses-Face Recognition.
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

Supervised sparsity preserving projections for face recognition.
Proceedings of the Third International Conference on Digital Image Processing, 2011

2010
Gabor-based dynamic representation for human fatigue monitoring in facial image sequences.
Pattern Recognit. Lett., 2010

Expression-robust 3D face recognition using LBP representation.
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

2009
Multiscale Dynamic Features Based Driver Fatigue Detection.
Int. J. Pattern Recognit. Artif. Intell., 2009

A Synthetic Region Selection Strategy for Texture Synthesis Based Video Coding.
Proceedings of the Advances in Multimedia Information Processing, 2009

A Novel Hybrid Approach Based on Sub-pattern Technique and Extended 2DPCA for Color Face Recognition.
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

Self-Adaptive 3D Face Recognition Based on Feature Division.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

A Novel Nonuniform Division Strategy for Wearing Eyeglasses Face Recognition.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008
Dynamic Features Based Driver Fatigue Detection.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Color face recognition based on 2DPCA.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Face Recognition Assisted With 3D Face Model.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Eyeglasses Eigenface Based Glasses-face Recognition.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Nonintrusive Driver Fatigue Detection.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Dynamic Human Fatigue Detection Using Feature-Level Fusion.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

Multi-scale dynamic human fatigue detection with feature level fusion.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
An Improved SVM Based on Similarity Metric.
J. Univers. Comput. Sci., 2007

A Distributed Cooperative Technology for Spatial Grid Computing.
Data Sci. J., 2007

Geometry sequence based progressive mesh compression.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007

A 3D Face Recognition Algorithm Based on Nonuniform Re-sampling Correspondence.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006
Research on Word Segmentation for Chinese Sign Language.
Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, 2006

A Block-Matching Based Intra Frame Prediction for H.264/AVC.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

GA-Based Speaking Mouth Correlative Speech Feature Abstraction.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

Face Recognition Based on Geodesic Preserving Projection Algorithm with 3D Morphable Model.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
A Quantile-Data Mapping Model for Value-at-Risk Based on BP and Support Vector Regression.
Proceedings of the Internet and Network Economics, First International Workshop, 2005

A compensation mechanism in GIS Web service composition.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

A peer-to-peer architecture for dynamic executing GIS web service composition.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

G-WSDL: a data-oriented approach to model GIS Web services.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

An Improved 3D Face Synthesis Based on Morphable Model.
Proceedings of the Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5, 2005

Local Linear Embedding with Morphable Model for Face Recognition.
Proceedings of the Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5, 2005

Auto cropping for digital photographs.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Multi-lighting 3D face morphable model based on mesh resampling.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Automated red-eye detection and correction in digital photographs.
Proceedings of the 2004 International Conference on Image Processing, 2004

SVR-based facial texture driving for realistic expression synthesis.
Proceedings of the Third International Conference on Image and Graphics, 2004

2002
<i>MyPhotos</i>: a system for home photo management and processing.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

2001
Semi-Automatic Image Annotation.
Proceedings of the Human-Computer Interaction INTERACT '01: IFIP TC13 International Conference on Human-Computer Interaction, 2001

1994
The Genetic Algorithm for 0-1 Programming with Linear Constraints.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994


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