Yongli Hu

Orcid: 0000-0003-0440-438X

According to our database1, Yongli Hu authored at least 141 papers between 2003 and 2024.

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

Timeline

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Bibliography

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

Cross-modal fusion encoder via graph neural network for referring image segmentation.
IET Image Process., March, 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

Self-supervised knowledge distillation in counterfactual learning for VQA.
Pattern Recognit. Lett., January, 2024

Multi-Level Interaction Based Knowledge Graph Completion.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

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

2023
TDN: Triplet Distributor Network for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., December, 2023

Substructure-aware subgraph reasoning for inductive relation prediction.
J. Supercomput., December, 2023

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

DSGEM: Dual scene graph enhancement module-based visual question answering.
IET Comput. Vis., September, 2023

Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning.
IEEE Trans. Big Data, August, 2023

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

Graph structure learning layer and its graph convolution clustering application.
Neural Networks, August, 2023

Underwater autonomous grasping robot based on multi-stage Cascade DetNet.
Artif. Life Robotics, May, 2023

CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering.
IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., April, 2023

Self-Attention Graph Convolution Residual Network for Traffic Data Completion.
IEEE Trans. Big Data, April, 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

STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation.
IEEE Trans. Big Data, February, 2023

Multi-Concept Representation Learning for Knowledge Graph Completion.
ACM Trans. Knowl. Discov. Data, January, 2023

Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application.
IEEE Trans. Neural Networks Learn. Syst., 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.
CoRR, 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

Path Planning of Unmanned Underwater Vehicles Based on Deep Reinforcement Learning Algorithm.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization.
IEEE Trans. Intell. Transp. Syst., 2022

Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework.
IEEE Trans. Intell. Transp. Syst., 2022

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

Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation.
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

MFFNet: Single facial depth map refinement using multi-level feature fusion.
Signal Process. Image Commun., 2022

CGNN: Caption-assisted graph neural network for image-text retrieval.
Pattern Recognit. Lett., 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

Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data.
IEEE Intell. Transp. Syst. Mag., 2022

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

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

Multi-graph convolutional clustering network.
IET Signal Process., 2022

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

Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

Learnable Gated Graph Convolutional Residual Network for Traffic Prediction.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

SHCN: Self-supervised General Hypergraph Clustering Network.
Proceedings of the IEEE International Conference on Big Data, 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

Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data.
IEEE Trans. Intell. Transp. Syst., 2021

A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks.
IEEE Trans. Intell. Transp. Syst., 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

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

Visual analysis method for abnormal passenger flow on urban metro network.
J. Vis., 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

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

A New Lane-Changing Model with Consideration of Driving Style.
Int. J. Intell. Transp. Syst. Res., 2019

Detecting Pickpocketing Gangs on Buses with Smart Card Data.
IEEE Intell. Transp. Syst. Mag., 2019

Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints.
IEEE Intell. Transp. Syst. Mag., 2019

Domain-invariant representation learning using an unsupervised domain adversarial adaptation deep neural network.
Neurocomputing, 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

Locality Preserving Projection via Deep Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 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

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

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

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint.
Sensors, 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

Craniofacial reconstruction based on multi-linear subspace analysis.
Multim. Tools Appl., 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

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

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

2009
A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation.
Int. J. Comput. Games Technol., 2009

The implementation of e-learning tools to enhance undergraduate bioinformatics teaching and learning: a case study in the National University of Singapore.
BMC Bioinform., 2009

An Automatic Non-rigid Point Matching Method for Dense 3D Face Scans.
Proceedings of the Selected Papers of the 2009 International Conference on Computational Science and Its Applications, 2009

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

2004
Resampling Based Method for Pixel-wise Correspondence between 3D Faces.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

2003
A New Facial Feature Extraction Method Based on Linear Combination Model .
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003


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