Bo Jiang

Orcid: 0000-0002-6238-1596

Affiliations:
  • Anhui University, School of Computer Science and Technology, Hefei, China (PhD 2015)


According to our database1, Bo Jiang authored at least 135 papers between 2011 and 2024.

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

Timeline

Legend:

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Bibliography

2024
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2024

Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer Based Approach.
IEEE Trans. Multim., 2024

AMatFormer: Efficient Feature Matching via Anchor Matching Transformer.
IEEE Trans. Multim., 2024

A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos.
CoRR, 2024

Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization.
CoRR, 2024

Unifying Graph Contrastive Learning via Graph Message Augmentation.
CoRR, 2024

2023
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Hypergraph convolutional network for hyperspectral image classification.
Neural Comput. Appl., October, 2023

GPENs: Graph Data Learning With Graph Propagation-Embedding Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Graph context-attention network via low and high order aggregation.
Neurocomputing, June, 2023

Sparse norm regularized attribute selection for graph neural networks.
Pattern Recognit., May, 2023

Multi-granularity cross attention network for person re-identification.
Multim. Tools Appl., April, 2023

Data Representation via Attribute Selection- Propagation Neural Network.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Fine-Grained Visual Classification via Internal Ensemble Learning Transformer.
IEEE Trans. Multim., 2023

MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking.
IEEE Trans. Multim., 2023

AS<sup>3</sup>ITransUNet: Spatial-Spectral Interactive Transformer U-Net With Alternating Sampling for Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

VcT: Visual Change Transformer for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

DropAGG: Robust Graph Neural Networks via Drop Aggregation.
Neural Networks, 2023

Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation.
CoRR, 2023

VcT: Visual change Transformer for Remote Sensing Image Change Detection.
CoRR, 2023

Unleashing the power of Neural Collapse for Transferability Estimation.
CoRR, 2023

Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition.
CoRR, 2023

AGFormer: Efficient Graph Representation with Anchor-Graph Transformer.
CoRR, 2023

2022
Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching.
IEEE Trans. Multim., 2022

PH-GCN: Person Retrieval With Part-Based Hierarchical Graph Convolutional Network.
IEEE Trans. Multim., 2022

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search.
IEEE Trans. Image Process., 2022

RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification.
IEEE Signal Process. Lett., 2022

GLMNet: Graph learning-matching convolutional networks for feature matching.
Pattern Recognit., 2022

GeCNs: Graph Elastic Convolutional Networks for Data Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning.
Neural Networks, 2022

MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
Neural Networks, 2022

Multi-head collaborative learning for graph neural networks.
Neurocomputing, 2022

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric.
CoRR, 2022

Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach.
CoRR, 2022

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors.
CoRR, 2022

Spiking GATs: Learning Graph Attentions via Spiking Neural Network.
CoRR, 2022

Unified GCNs: Towards Connecting GCNs with CNNs.
CoRR, 2022

Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators.
CoRR, 2022

MvInf: Social Influence Prediction with Multi-view Graph Attention Learning.
Cogn. Comput., 2022

Attributes Based Visible-Infrared Person Re-identification.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Semi-supervised Learning via Multiple Layer Graph Regularized Perception.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
cmSalGAN: RGB-D Salient Object Detection With Cross-View Generative Adversarial Networks.
IEEE Trans. Multim., 2021

STGL: Spatial-Temporal Graph Representation and Learning for Visual Tracking.
IEEE Trans. Multim., 2021

Co-Saliency Detection via a General Optimization Model and Adaptive Graph Learning.
IEEE Trans. Multim., 2021

A novel domain activation mapping-guided network (DA-GNT) for visual tracking.
Neurocomputing, 2021

MutualFormer: Multi-Modality Representation Learning via Mutual Transformer.
CoRR, 2021

Visual Cognition-Inspired Multi-View Vehicle Re-Identification via Laplacian-Regularized Correlative Sparse Ranking.
Cogn. Comput., 2021

GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MGARL: Multiple Graph Adversarial Regularized Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Weakly Supervised Salient Object Detection with Box Annotation.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
A Subspace Learning Approach to Multishot Person Reidentification.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Revisiting L<sub>2, 1</sub>-Norm Robustness With Vector Outlier Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Feature Matching With Intra-Group Sparse Model.
IEEE Trans. Multim., 2020

Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification.
Pattern Recognit., 2020

SaADB: A Self-attention Guided ADB Network for Person Re-identification.
CoRR, 2020

RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises.
CoRR, 2020

EEDNet: Enhanced Encoder-Decoder Network for AutoISP.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition.
IEEE Trans. Cybern., 2019

Background subtraction with multi-scale structured low-rank and sparse factorization.
Neurocomputing, 2019

Saliency detection via multi-view graph based saliency optimization.
Neurocomputing, 2019

Robust pixelwise saliency detection via progressive graph rankings.
Neurocomputing, 2019

Robust visual tracking via Laplacian Regularized Random Walk Ranking.
Neurocomputing, 2019

Efficient Feature Matching via Nonnegative Orthogonal Relaxation.
Int. J. Comput. Vis., 2019

cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks.
CoRR, 2019

AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification.
CoRR, 2019

GLMNet: Graph Learning-Matching Networks for Feature Matching.
CoRR, 2019

Context-Aware Graph Attention Networks.
CoRR, 2019

Graph Mask Convolutional Network.
CoRR, 2019

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network.
CoRR, 2019

PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network.
CoRR, 2019

Graph Optimized Convolutional Networks.
CoRR, 2019

Multiple Graph Adversarial Learning.
CoRR, 2019

A Unified Multiple Graph Learning and Convolutional Network Model for Co-saliency Estimation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Visual Object Tracking via Graph Convolutional Representation.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Multiple Graph Convolutional Networks for Co-Saliency Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Person Re-identification with Patch-Based Local Sparse Matching and Metric Learning.
Proceedings of the Image and Graphics - 10th International Conference, 2019

Semi-Supervised Learning With Graph Learning-Convolutional Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Data Representation and Learning With Graph Diffusion-Embedding Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Salient Object Detection via Graph-Based Flexible Manifold Ranking.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018
Spatial-temporal representatives selection and weighted patch descriptor for person re-identification.
Neurocomputing, 2018

A prior regularized multi-layer graph ranking model for image saliency computation.
Neurocomputing, 2018

Saliency detection via a multi-layer graph based diffusion model.
Neurocomputing, 2018

Robust data representation using locally linear embedding guided PCA.
Neurocomputing, 2018

Graph Learning-Convolutional Networks.
CoRR, 2018

Graph Diffusion-Embedding Networks.
CoRR, 2018

Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning.
CoRR, 2018

Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking.
CoRR, 2018

Non-negative Dual Graph Regularized Sparse Ranking for Multi-shot Person Re-identification.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Multi-scale Cooperative Ranking for Saliency Detection.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Visual Object Tracking via Graph Learning and Flexible Manifold Ranking.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Image Set Representation with Robust Manifold Regularized Low-Rank Approximation.
Proceedings of the Image and Graphics Technologies and Applications, 2018

OWP: Objectness Weighted Patch Descriptor for Visual Tracking.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Saliency Detection via Multi-view Synchronized Manifold Ranking.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Image representation and matching with geometric-edge random structure graph.
Pattern Recognit. Lett., 2017

Lagrangian relaxation graph matching.
Pattern Recognit., 2017

A global and local consistent ranking model for image saliency computation.
J. Vis. Commun. Image Represent., 2017

Image Set Representation and Classification with Attributed Covariate-Relation Graph Model and Graph Sparse Representation Classification.
Neurocomputing, 2017

Multiple Images Recovery Using a Single Affine Transformation.
CoRR, 2017

Outlier Regularization for Vector Data and L21 Norm Robustness.
CoRR, 2017

L1-norm Error Function Robustness and Outlier Regularization.
CoRR, 2017

A new graph ranking model for image saliency detection problem.
Proceedings of the 15th IEEE International Conference on Software Engineering Research, 2017

Graph Matching via Multiplicative Update Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Image Set Representation with L_1 -Norm Optimal Mean Robust Principal Component Analysis.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Saliency Detection via A Graph Based Diffusion Model.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Binary Constraint Preserving Graph Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Visual Saliency Detection via Prior Regularized Manifold Ranking.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Nonnegative Orthogonal Graph Matching.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Common Visual Patterns Discovery with an Elastic Matching Model.
Cogn. Comput., 2016

Robust Out-of-Sample Data Recovery.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Low-Rank Image Set Representation and Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015
An Outlier Detection Method for Feature Point Matching Problem.
J. Inf. Hiding Multim. Signal Process., 2015

Image matching using a local distribution based outlier detection technique.
Neurocomputing, 2015

Image Matching Using Mutual k-Nearest Neighbor Graph.
Proceedings of the Intelligent Computation in Big Data Era, 2015

Person Re-identification with Density-Distance Unsupervised Salience Learning.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Attributed Relational Graph Matching with Sparse Relaxation and Bistochastic Normalization.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Image set representation and classification with covariate-relation graph.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

A Local Sparse Model for Matching Problem.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Robust Feature Point Matching With Sparse Model.
IEEE Trans. Image Process., 2014

A sparse nonnegative matrix factorization technique for graph matching problems.
Pattern Recognit., 2014

Covariate-Correlated Lasso for Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Classification of Fish Ectoparasite Genus Gyrodactylus SEM Images Using ASM and Complex Network Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Corrigendum to "Graph structure analysis based on complex network" [Digital Signal Processing 22 (5) (2012) 713-725].
Digit. Signal Process., 2013

Graph Matching with Nonnegative Sparse Model.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

Graph-Laplacian PCA: Closed-Form Solution and Robustness.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Graph matching based on spectral embedding with missing value.
Pattern Recognit., 2012

Graph structure analysis based on complex network.
Digit. Signal Process., 2012

2011
Graph Matching Based on Dot Product Representation of Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011


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