Graph Matching Based on Dot Product Representation of Graphs. - Jin Tang 001; Bo Jiang 002; Bin Luo 001 (GbRPR, 2011)

Graph structure analysis based on complex network. - Jin Tang 001; Bo Jiang 002; Chin-Chen Chang 001; Bin Luo 001 (Digit. Signal Process., 2012)

Graph matching based on spectral embedding with missing value. - Jin Tang 001; Bo Jiang 002; Aihua Zheng; Bin Luo 001 (Pattern Recognit., 2012)

Graph-Laplacian PCA: Closed-Form Solution and Robustness. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001; Jin Tang 001 (CVPR, 2013)

Graph Matching with Nonnegative Sparse Model. - Bo Jiang 002; Jin Tang 001; Bin Luo 001 (GbRPR, 2013)

Corrigendum to "Graph structure analysis based on complex network" [Digital Signal Processing 22 (5) (2012) 713-725]. - Jin Tang 001; Bo Jiang 002; Chin-Chen Chang 001; Bin Luo 001 (Digit. Signal Process., 2013)

Classification of Fish Ectoparasite Genus Gyrodactylus SEM Images Using ASM and Complex Network Model. - Rozniza Ali; Bo Jiang 002; Mustafa Man; Amir Hussain 001; Bin Luo 001 (ICONIP (3), 2014)

Covariate-Correlated Lasso for Feature Selection. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001 (ECML/PKDD (1), 2014)

A sparse nonnegative matrix factorization technique for graph matching problems. - Bo Jiang 002; Haifeng Zhao 001; Jin Tang 001; Bin Luo 001 (Pattern Recognit., 2014)

Robust Feature Point Matching With Sparse Model. - Bo Jiang 002; Jin Tang 001; Bin Luo 001; Liang Lin (IEEE Trans. Image Process., 2014)

A Local Sparse Model for Matching Problem. - Bo Jiang 002; Jin Tang 001; Chris H. Q. Ding; Bin Luo 001 (AAAI, 2015)

Image set representation and classification with covariate-relation graph. - Zhuqiang Chen; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (ACPR, 2015)

Attributed Relational Graph Matching with Sparse Relaxation and Bistochastic Normalization. - Bo Jiang 002; Jin Tang 001; Bin Luo 001 (GbRPR, 2015)

Person Re-identification with Density-Distance Unsupervised Salience Learning. - Baoliang Zhou; Aihua Zheng; Bo Jiang 002; Chenglong Li 002; Jin Tang 001 (ICIG (3), 2015)

Image Matching Using Mutual k-Nearest Neighbor Graph. - Ting-Ting Li; Bo Jiang 002; Zhengzheng Tu; Bin Luo 001; Jin Tang 001 (ICYCSEE, 2015)

Image matching using a local distribution based outlier detection technique. - Haifeng Zhao 001; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (Neurocomputing, 2015)

An Outlier Detection Method for Feature Point Matching Problem. - Jin Tang 001; Bo Jiang 002; Bin Luo 001; Chin-Chen Chang 001 (J. Inf. Hiding Multim. Signal Process., 2015)

Low-Rank Image Set Representation and Classification. - Youxia Cao; Bo Jiang 002; Zhuqiang Chen; Jin Tang 001; Bin Luo 001 (BICS, 2016)

Robust Out-of-Sample Data Recovery. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001 (IJCAI, 2016)

Common Visual Patterns Discovery with an Elastic Matching Model. - Meili Zhao; Bo Jiang 002; Bin Luo 001; Jin Tang 001 (Cogn. Comput., 2016)

Nonnegative Orthogonal Graph Matching. - Bo Jiang 002; Jin Tang 001; Chris H. Q. Ding; Bin Luo 001 (AAAI, 2017)

Visual Saliency Detection via Prior Regularized Manifold Ranking. - Yun Xiao 003; Bo Jiang 002; Zhengzheng Tu; Jin Tang 001 (CCCV (3), 2017)

Binary Constraint Preserving Graph Matching. - Bo Jiang 002; Jin Tang 001; Chris Ding; Bin Luo 001 (CVPR, 2017)

Saliency Detection via A Graph Based Diffusion Model. - Zhouqin He; Bo Jiang 002; Yun Xiao 003; Chris H. Q. Ding; Bin Luo 001 (GbRPR, 2017)

Image Set Representation with L_1 -Norm Optimal Mean Robust Principal Component Analysis. - Youxia Cao; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (ICIG (2), 2017)

Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels. - Weijieying Ren; Lei Zhang 060; Bo Jiang 002; Zhefeng Wang; Guangming Guo; Guiquan Liu (KSEM, 2017)

Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery. - Zhenyu Tang; Yue Cui; Bo Jiang 002 (MICCAI (2), 2017)

Graph Matching via Multiplicative Update Algorithm. - Bo Jiang 002; Jin Tang 001; Chris Ding; Yihong Gong; Bin Luo 001 (NIPS, 2017)

A new graph ranking model for image saliency detection problem. - Yuanyuan Guan; Bo Jiang 002; Yun Xiao 003; Jin Tang 001; Bin Luo 001 (SERA, 2017)

L1-norm Error Function Robustness and Outlier Regularization. - Chris Ding; Bo Jiang 002 (CoRR, 2017)

Outlier Regularization for Vector Data and L21 Norm Robustness. - Bo Jiang 002; Chris Ding (CoRR, 2017)

Multiple Images Recovery Using a Single Affine Transformation. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001 (CoRR, 2017)

Image Set Representation and Classification with Attributed Covariate-Relation Graph Model and Graph Sparse Representation Classification. - Zhuqiang Chen; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (Neurocomputing, 2017)

A global and local consistent ranking model for image saliency computation. - Yun Xiao 003; Liangmin Wang; Bo Jiang 002; Zhengzheng Tu; Jin Tang 001 (J. Vis. Commun. Image Represent., 2017)

Lagrangian relaxation graph matching. - Bo Jiang 002; Jin Tang 001; Xiaochun Cao; Bin Luo 001 (Pattern Recognit., 2017)

Image representation and matching with geometric-edge random structure graph. - Bo Jiang 002; Jin Tang 001; Aihua Zheng; Bin Luo 001 (Pattern Recognit. Lett., 2017)

Saliency Detection via Multi-view Synchronized Manifold Ranking. - Yuanyuan Guan; Bo Jiang 002; Yuan Zhang; Aihua Zheng; Dengdi Sun; Bin Luo 001 (BICS, 2018)

Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features. - Dengdi Sun; Lidan Liu; Aihua Zheng; Bo Jiang 002; Bin Luo 001 (BICS, 2018)

OWP: Objectness Weighted Patch Descriptor for Visual Tracking. - Bo Jiang 002; Yuan Zhang; Jin Tang 001; Bin Luo 001 (ICPR, 2018)

Image Set Representation with Robust Manifold Regularized Low-Rank Approximation. - Bo Jiang 002; Yuan Zhang; Youxia Cao; Bin Luo 001 (IGTA, 2018)

Visual Object Tracking via Graph Learning and Flexible Manifold Ranking. - Bo Jiang 002; Doudou Lin; Jin Tang 001; Bin Luo 001 (PCM (1), 2018)

Multi-scale Cooperative Ranking for Saliency Detection. - Bo Jiang 002; Xingyue Jiang; Aihua Zheng; Yun Xiao 003; Jin Tang 001 (PRCV (1), 2018)

Non-negative Dual Graph Regularized Sparse Ranking for Multi-shot Person Re-identification. - Aihua Zheng; Hongchao Li; Bo Jiang 002; Chenglong Li 002; Jin Tang 001; Bin Luo 001 (PRCV (1), 2018)

Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking. - Bo Jiang 002; Doudou Lin; Bin Luo 001; Jin Tang 001 (CoRR, 2018)

Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning. - Bo Jiang 002; Doudou Lin (CoRR, 2018)

Graph Diffusion-Embedding Networks. - Bo Jiang 002; Doudou Lin; Jin Tang 001 (CoRR, 2018)

Graph Learning-Convolutional Networks. - Bo Jiang 002; Ziyan Zhang; Doudou Lin; Jin Tang 001 (CoRR, 2018)

Robust data representation using locally linear embedding guided PCA. - Bo Jiang 002; Chris Ding; Bin Luo 001 (Neurocomputing, 2018)

Saliency detection via a multi-layer graph based diffusion model. - Bo Jiang 002; Zhouqin He; Chris Ding; Bin Luo 001 (Neurocomputing, 2018)

A prior regularized multi-layer graph ranking model for image saliency computation. - Yun Xiao 003; Bo Jiang 002; Zhengzheng Tu; Jixin Ma 001; Jin Tang 001 (Neurocomputing, 2018)

Spatial-temporal representatives selection and weighted patch descriptor for person re-identification. - Aihua Zheng; Foqin Wang; Amir Hussain 001; Jin Tang 001; Bo Jiang 002 (Neurocomputing, 2018)

Salient Object Detection via Graph-Based Flexible Manifold Ranking. - Ying Yang; Bo Jiang 002; Yun Xiao 003; Jin Tang 001 (BICS, 2019)

Data Representation and Learning With Graph Diffusion-Embedding Networks. - Bo Jiang 002; Doudou Lin; Jin Tang 001; Bin Luo 001 (CVPR, 2019)

Semi-Supervised Learning With Graph Learning-Convolutional Networks. - Bo Jiang 002; Ziyan Zhang; Doudou Lin; Jin Tang 001; Bin Luo 001 (CVPR, 2019)

Person Re-identification with Patch-Based Local Sparse Matching and Metric Learning. - Bo Jiang 002; Yibing Lv; Aihua Zheng; Bin Luo 001 (ICIG (2), 2019)

Multiple Graph Convolutional Networks for Co-Saliency Detection. - Bo Jiang 002; Xingyue Jiang; Jin Tang 001; Bin Luo 001; Shilei Huang (ICME, 2019)

Visual Object Tracking via Graph Convolutional Representation. - Zhengzheng Tu; Ajian Zhou; Bo Jiang 002; Bin Luo 001 (ICME Workshops, 2019)

A Unified Multiple Graph Learning and Convolutional Network Model for Co-saliency Estimation. - Bo Jiang 002; Xingyue Jiang; Ajian Zhou; Jin Tang 001; Bin Luo 001 (ACM Multimedia, 2019)

Multiple Graph Adversarial Learning. - Bo Jiang 002; Ziyan Zhang; Jin Tang 001; Bin Luo 001 (CoRR, 2019)

Graph Optimized Convolutional Networks. - Bo Jiang 002; Ziyan Zhang; Jin Tang 001; Bin Luo 001 (CoRR, 2019)

PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network. - Bo Jiang 002; Xixi Wang; Bin Luo 001 (CoRR, 2019)

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network. - Bo Jiang 002; Leiling Wang; Jin Tang 001; Bin Luo 001 (CoRR, 2019)

Graph Mask Convolutional Network. - Bo Jiang 002; Beibei Wang; Jin Tang 001; Bin Luo 001 (CoRR, 2019)

Context-Aware Graph Attention Networks. - Bo Jiang 002; Leiling Wang; Jin Tang 001; Bin Luo 001 (CoRR, 2019)

GLMNet: Graph Learning-Matching Networks for Feature Matching. - Bo Jiang 002; Pengfei Sun; Jin Tang 001; Bin Luo 001 (CoRR, 2019)

AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification. - Bo Jiang 002; Xixi Wang; Jin Tang 001 (CoRR, 2019)

cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks. - Bo Jiang 002; Zitai Zhou; Xiao Wang 014; Jin Tang 001 (CoRR, 2019)

Efficient Feature Matching via Nonnegative Orthogonal Relaxation. - Bo Jiang 002; Jin Tang 001; Bin Luo 001 (Int. J. Comput. Vis., 2019)

Robust visual tracking via Laplacian Regularized Random Walk Ranking. - Bo Jiang 002; Yuan Zhang; Jin Tang 001; Bin Luo 001; Chenglong Li 002 (Neurocomputing, 2019)

Robust pixelwise saliency detection via progressive graph rankings. - Lihua Wang; Bo Jiang 002; Zhengzheng Tu; Amir Hussain 001; Jin Tang 001 (Neurocomputing, 2019)

Saliency detection via multi-view graph based saliency optimization. - Yun Xiao 003; Bo Jiang 002; Aihua Zheng; Aiwu Zhou; Amir Hussain 001; Jin Tang 001 (Neurocomputing, 2019)

Background subtraction with multi-scale structured low-rank and sparse factorization. - Aihua Zheng; Tian Zou; Yumiao Zhao; Bo Jiang 002; Jin Tang 001; Chenglong Li 002 (Neurocomputing, 2019)

Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition. - Bo Jiang 002; Chris Ding; Jin Tang 001; Bin Luo 001 (IEEE Trans. Cybern., 2019)

EEDNet: Enhanced Encoder-Decoder Network for AutoISP. - Yu Zhu 004; Zhenyu Guo; Tian Liang; Xiangyu He; Chenghua Li; Cong Leng; Bo Jiang 002; Yifan Zhang 001; Jian Cheng 001 (ECCV Workshops (3), 2020)

RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises. - Bo Jiang 002; Ziyan Zhang (CoRR, 2020)

SaADB: A Self-attention Guided ADB Network for Person Re-identification. - Bo Jiang 002; Sheng Wang; Xiao Wang 014; Aihua Zheng (CoRR, 2020)

Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification. - Aihua Zheng; Hongchao Li; Bo Jiang 002; Wei-Shi Zheng 001; Bin Luo 001 (Pattern Recognit., 2020)

Feature Matching With Intra-Group Sparse Model. - Bo Jiang 002; Jin Tang 001; Bin Luo 001 (IEEE Trans. Multim., 2020)

Revisiting L2, 1-Norm Robustness With Vector Outlier Regularization. - Bo Jiang 002; Chris Ding (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Subspace Learning Approach to Multishot Person Reidentification. - Aihua Zheng; Xuehan Zhang; Bo Jiang 002; Bin Luo 001; Chenglong Li 002 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Weakly Supervised Salient Object Detection with Box Annotation. - Zhentao Jiang; Qiang Chen 007; Bo Jiang 002; Cong Leng; Jian Cheng 001 (ACPR (1), 2021)

Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. - Xiao Wang 014; Xiujun Shu; Zhipeng Zhang; Bo Jiang 002; Yaowei Wang 001; Yonghong Tian 001; Feng Wu 001 (CVPR, 2021)

Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs. - Jin Wang; Bo Jiang 002 (ICCVW, 2021)

MGARL: Multiple Graph Adversarial Regularized Learning. - Ziyan Zhang; Bo Jiang 002; Bin Luo 001 (ICME, 2021)

GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network. - Bo Jiang 002; Pengfei Sun; Ziyan Zhang; Jin Tang 001; Bin Luo 001 (ACM Multimedia, 2021)

Visual Cognition-Inspired Multi-View Vehicle Re-Identification via Laplacian-Regularized Correlative Sparse Ranking. - Aihua Zheng; Jiacheng Dong; Xianmin Lin; Lidan Liu; Bo Jiang 002; Bin Luo 001 (Cogn. Comput., 2021)

MutualFormer: Multi-Modality Representation Learning via Mutual Transformer. - Xixi Wang; Bo Jiang 002; Xiao Wang 014; Bin Luo 001 (CoRR, 2021)

A novel domain activation mapping-guided network (DA-GNT) for visual tracking. - Zhengzheng Tu; Ajian Zhou; Chuang Gan; Bo Jiang 002; Amir Hussain 001; Bin Luo 001 (Neurocomputing, 2021)

Co-Saliency Detection via a General Optimization Model and Adaptive Graph Learning. - Bo Jiang 002; Xingyue Jiang; Jin Tang 001; Bin Luo 001 (IEEE Trans. Multim., 2021)

STGL: Spatial-Temporal Graph Representation and Learning for Visual Tracking. - Bo Jiang 002; Yuan Zhang; Bin Luo 001; Xiaochun Cao; Jin Tang 001 (IEEE Trans. Multim., 2021)

cmSalGAN: RGB-D Salient Object Detection With Cross-View Generative Adversarial Networks. - Bo Jiang 002; Zitai Zhou; Xiao Wang 014; Jin Tang 001; Bin Luo 001 (IEEE Trans. Multim., 2021)

Semi-supervised Learning via Multiple Layer Graph Regularized Perception. - Haiyun Xu; Lili Huang; Bo Jiang 002; Jin Tang 001; Shaojie Zhang 002 (ICPR, 2022)

Attributes Based Visible-Infrared Person Re-identification. - Aihua Zheng; Mengya Feng; Peng Pan; Bo Jiang 002; Bin Luo 001 (PRCV (1), 2022)

MvInf: Social Influence Prediction with Multi-view Graph Attention Learning. - Huifang Xu; Bo Jiang 002; Chris Ding (Cogn. Comput., 2022)

Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators. - Beibei Wang; Bo Jiang 002 (CoRR, 2022)

Unified GCNs: Towards Connecting GCNs with CNNs. - Ziyan Zhang; Bo Jiang 002; Bin Luo 001 (CoRR, 2022)

Spiking GATs: Learning Graph Attentions via Spiking Neural Network. - Beibei Wang; Bo Jiang 002 (CoRR, 2022)

Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach. - Xixi Wang; Bo Jiang 002; Xiao Wang 014; Bin Luo 001 (CoRR, 2022)

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric. - Chuanming Tang; Xiao Wang 014; Ju Huang; Bo Jiang 002; Lin Zhu 012; Jianlin Zhang 001; Yaowei Wang 001; Yonghong Tian 001 (CoRR, 2022)

Multi-head collaborative learning for graph neural networks. - Haiyun Xu; Bo Jiang 002; Lili Huang; Jin Tang 001; Shaojie Zhang 002 (Neurocomputing, 2022)

MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks. - Bo Jiang 002; Si Chen; Beibei Wang; Bin Luo 001 (Neural Networks, 2022)

LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning. - Kangkang Zhao; Ziyan Zhang; Bo Jiang 002; Jin Tang 001 (Neural Networks, 2022)

GeCNs: Graph Elastic Convolutional Networks for Data Representation. - Bo Jiang 002; Beibei Wang; Jin Tang 001; Bin Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GLMNet: Graph learning-matching convolutional networks for feature matching. - Bo Jiang 002; Pengfei Sun; Bin Luo 001 (Pattern Recognit., 2022)

RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification. - Bo Jiang 002; Kangkang Zhao; Jin Tang 001 (IEEE Signal Process. Lett., 2022)

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search. - Xiao Wang 014; Zhe Chen 013; Bo Jiang 002; Jin Tang 001; Bin Luo 001; Dacheng Tao (IEEE Trans. Image Process., 2022)

PH-GCN: Person Retrieval With Part-Based Hierarchical Graph Convolutional Network. - Bo Jiang 002; Xixi Wang; Aihua Zheng; Jin Tang 001; Bin Luo 001 (IEEE Trans. Multim., 2022)

Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching. - Aihua Zheng; Menglan Hu; Bo Jiang 002; Yan Huang; Yan Yan 002; Bin Luo 001 (IEEE Trans. Multim., 2022)

Chest X-ray Image Quality Control via Transformer and Label Correlation Regularization Loss. - Ming Liu; Lili Huang; Bo Jiang 002; Chuanfu Li; Jin Tang 001 (ISAIMS, 2023)

AGFormer: Efficient Graph Representation with Anchor-Graph Transformer. - Bo Jiang 002; Fei Xu; Ziyan Zhang; Jin Tang 001; Feiping Nie 001 (CoRR, 2023)

Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition. - Bo Jiang 002; Chengguo Yuan; Xiao Wang 014; Zhimin Bao; Lin Zhu 012; Bin Luo 001 (CoRR, 2023)

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. - Xiao Wang 014; Zongzhen Wu; Yao Rong; Lin Zhu 012; Bo Jiang 002; Jin Tang 001; Yonghong Tian 001 (CoRR, 2023)

Unleashing the power of Neural Collapse for Transferability Estimation. - Yuhe Ding; Bo Jiang 002; Lijun Sheng; Aihua Zheng; Jian Liang 001 (CoRR, 2023)

Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation. - Jiahui Wang; Qin Xu; Bo Jiang 002; Bin Luo 001 (CoRR, 2023)

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. - Xiao Wang 014; Yao Rong; Shiao Wang; Yuan Chen 012; Zhe Wu 006; Bo Jiang 002; Yonghong Tian 001; Jin Tang 001 (CoRR, 2023)

DropAGG: Robust Graph Neural Networks via Drop Aggregation. - Bo Jiang 002; Yong Chen; Beibei Wang; Haiyun Xu; Bin Luo 001 (Neural Networks, 2023)

VcT: Visual Change Transformer for Remote Sensing Image Change Detection. - Bo Jiang 002; Zitian Wang; Xixi Wang; Ziyan Zhang; Lan Chen; Xiao Wang 014; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

AS3ITransUNet: Spatial-Spectral Interactive Transformer U-Net With Alternating Sampling for Hyperspectral Image Super-Resolution. - Qin Xu; Shiji Liu; Jiahui Wang; Bo Jiang 002; Jin Tang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. - Xiao Wang 014; Xiujun Shu; Shiliang Zhang; Bo Jiang 002; Yaowei Wang 001; Yonghong Tian 001; Feng Wu 001 (IEEE Trans. Multim., 2023)

Fine-Grained Visual Classification via Internal Ensemble Learning Transformer. - Qin Xu; Jiahui Wang; Bo Jiang 002; Bin Luo 001 (IEEE Trans. Multim., 2023)

Data Representation via Attribute Selection- Propagation Neural Network. - Beibei Wang; Bo Jiang 002 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Multi-granularity cross attention network for person re-identification. - Chengmei Han; Bo Jiang 002; Jin Tang 001 (Multim. Tools Appl., 2023)

Sparse norm regularized attribute selection for graph neural networks. - Bo Jiang 002; Beibei Wang; Bin Luo 001 (Pattern Recognit., 2023)

Graph context-attention network via low and high order aggregation. - Haiyun Xu; Shaojie Zhang 002; Bo Jiang 002; Jin Tang 001 (Neurocomputing, 2023)

GPENs: Graph Data Learning With Graph Propagation-Embedding Networks. - Bo Jiang 002; Leiling Wang; Jian Cheng 001; Jin Tang 001; Bin Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Hypergraph convolutional network for hyperspectral image classification. - Qin Xu; Jing Lin; Bo Jiang 002; Jinpei Liu; Bin Luo 001 (Neural Comput. Appl., 2023)

Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso. - Bo Jiang 002; Beibei Wang; Si Chen; Jin Tang 001; Bin Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation. - Beibei Wang; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification. - Xixi Wang; Xiao Wang 014; Bo Jiang 002; Bin Luo 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. - Xiao Wang 014; Zongzhen Wu; Bo Jiang 002; Zhimin Bao; Lin Zhu 012; Guoqi Li; Yaowei Wang 001; Yonghong Tian 001 (AAAI, 2024)

Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. - Xiao Wang 014; Shiao Wang; Chuanming Tang; Lin Zhu 012; Bo Jiang 002; Yonghong Tian 001; Jin Tang 001 (CVPR, 2024)

MGDR: Multi-modal Graph Disentangled Representation for Brain Disease Prediction. - Bo Jiang 002; Yapeng Li; Xixi Wan; Yuan Chen 012; Zhengzheng Tu; Yumiao Zhao; Jin Tang 001 (MICCAI (2), 2024)

Mamba-FETrack: Frame-Event Tracking via State Space Model. - Ju Huang; Shiao Wang; Shuai Wang; Zhe Wu 006; Xiao Wang 014; Bo Jiang 002 (PRCV (12), 2024)

CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. - Yabin Zhu; Xiao Wang 014; Chenglong Li 002; Bo Jiang 002; Lin Zhu 012; Zhixiang Huang; Yonghong Tian 001; Jin Tang 001 (CoRR, 2024)

Unifying Graph Contrastive Learning via Graph Message Augmentation. - Ziyan Zhang; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (CoRR, 2024)

Which Model to Transfer? A Survey on Transferability Estimation. - Yuhe Ding; Bo Jiang 002; Aijing Yu; Aihua Zheng; Jian Liang 001 (CoRR, 2024)

Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline. - Xiao Wang 014; Ju Huang; Shiao Wang; Chuanming Tang; Bo Jiang 002; Yonghong Tian 001; Jin Tang 001; Bin Luo 001 (CoRR, 2024)

Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization. - Qin Xu; Sitong Li; Jiahui Wang; Bo Jiang 002; Jinhui Tang 001 (CoRR, 2024)

A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos. - Zhengzheng Tu; Zigang Zhu; Yayang Duan; Bo Jiang 002; Qishun Wang; Chaoxue Zhang (CoRR, 2024)

State Space Model for New-Generation Network Alternative to Transformers: A Survey. - Xiao Wang 014; Shiao Wang; Yuhe Ding; Yuehang Li; Wentao Wu; Yao Rong; Weizhe Kong; Ju Huang; Shihao Li; Haoxiang Yang; Ziwen Wang; Bo Jiang 002; et al. (CoRR, 2024)

Pre-training on High Definition X-ray Images: An Experimental Study. - Xiao Wang 014; Yuehang Li; Wentao Wu; Jiandong Jin; Yao Rong; Bo Jiang 002; Chuanfu Li; Jin Tang 001 (CoRR, 2024)

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. - Xiao Wang 014; Qian Zhu; Jiandong Jin; Jun Zhu; Futian Wang; Bo Jiang 002; Yaowei Wang 001; Yonghong Tian 001 (CoRR, 2024)

A Unified Graph Selective Prompt Learning for Graph Neural Networks. - Bo Jiang 002; Hao Wu; Ziyan Zhang; Beibei Wang; Jin Tang 001 (CoRR, 2024)

Graph Edge Representation via Tensor Product Graph Convolutional Representation. - Bo Jiang 002; Sheng Ge; Ziyan Zhang; Beibei Wang; Jin Tang 001; Bin Luo 001 (CoRR, 2024)

Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining. - Xixi Wang; Zitian Wang; Jingtao Jiang; Lan Chen; Xiao Wang 014; Bo Jiang 002 (CoRR, 2024)

R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation. - Xiao Wang 014; Yuehang Li; Fuling Wang; Shiao Wang; Chuanfu Li; Bo Jiang 002 (CoRR, 2024)

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms. - Xiao Wang 014; Shiao Wang; Pengpeng Shao; Bo Jiang 002; Lin Zhu 012; Yonghong Tian 001 (CoRR, 2024)

MambaEVT: Event Stream based Visual Object Tracking using State Space Model. - Xiao Wang 014; Chao Wang; Shiao Wang; Xixi Wang; Zhicheng Zhao; Lin Zhu 012; Bo Jiang 002 (CoRR, 2024)

Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm. - Xiao Wang 014; Yao Rong; Fuling Wang; Jianing Li 001; Lin Zhu 012; Bo Jiang 002; Yaowei Wang 001 (CoRR, 2024)

CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset. - Xiao Wang 014; Fuling Wang; Yuehang Li; Qingchuan Ma; Shiao Wang; Bo Jiang 002; Chuanfu Li; Jin Tang 001 (CoRR, 2024)

HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter. - Yumiao Zhao; Bo Jiang 002; Xiao Wang 014; Qin Xu; Jin Tang 001 (CoRR, 2024)

Reliable and Compact Graph Fine-tuning via GraphSparse Prompting. - Bo Jiang 002; Hao Wu; Beibei Wang; Jin Tang 001; Bin Luo 001 (CoRR, 2024)

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks. - Yuhe Ding; Bo Jiang 002; Aihua Zheng; Qin Xu; Jian Liang 001 (CoRR, 2024)

Robust Audio-Visual Contrastive Learning for Proposal-Based Self-Supervised Sound Source Localization in Videos. - Hanyu Xuan; Zhiliang Wu; Jian Yang 003; Bo Jiang 002; Lei Luo 001; Xavier Alameda-Pineda; Yan Yan 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

ADRNet: Affine and Deformable Registration Networks for Multimodal Remote Sensing Images. - Yun Xiao 003; Chunlei Zhang; Yuan Chen 012; Bo Jiang 002; Jin Tang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification. - Jiahui Wang; Qin Xu; Bo Jiang 002; Bin Luo 001; Jinhui Tang 001 (IEEE Trans. Image Process., 2024)

AMatFormer: Efficient Feature Matching via Anchor Matching Transformer. - Bo Jiang 002; Shuxian Luo; Xiao Wang 014; Chuanfu Li; Jin Tang 001 (IEEE Trans. Multim., 2024)

Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer Based Approach. - Xixi Wang; Bo Jiang 002; Xiao Wang 014; Jinhui Tang 001; Bin Luo 001 (IEEE Trans. Multim., 2024)

FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks. - Beibei Wang; Bo Jiang 002; Chris Ding (IEEE Trans. Netw. Sci. Eng., 2024)

MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. - Yuhe Ding; Jian Liang 001; Bo Jiang 002; Aihua Zheng; Ran He 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Category-Aware Siamese Learning Network for Few-Shot Segmentation. - Hui Sun; Ziyan Zhang; Lili Huang; Bo Jiang 002; Bin Luo 001 (Cogn. Comput., 2024)

MutualFormer: Multi-modal Representation Learning via Cross-Diffusion Attention. - Xixi Wang; Xiao Wang 014; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (Int. J. Comput. Vis., 2024)

Incomplete Graph Learning via Partial Graph Convolutional Network. - Ziyan Zhang; Bo Jiang 002; Jin Tang 001; Jinhui Tang 001; Bin Luo 001 (IEEE Trans. Artif. Intell., 2024)

GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks. - Bo Jiang 002; Yong Chen; Beibei Wang; Haiyun Xu; Jin Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning Graph Attentions via Replicator Dynamics. - Bo Jiang 002; Ziyan Zhang; Sheng Ge; Beibei Wang; Xiao Wang 014; Jin Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. - Xiao Wang 014; Yu Jin; Wentao Wu; Wei Zhang; Lin Zhu 012; Bo Jiang 002; Yonghong Tian 001 (CVPR, 2025)

CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset. - Xiao Wang 014; Fuling Wang; Yuehang Li; Qingchuan Ma; Shiao Wang; Bo Jiang 002; Jin Tang 001 (CVPR, 2025)

Mix-Mask Augmentation and Self-Reconstruction for Cross-Domain Few-Shot Hyperspectral Image Classification. - Qin Xu; Jie Wei; Qihang Wu; Jiahui Wang; Xiao Wang 014; Jinpei Liu; Bo Jiang 002 (ICASSP, 2025)

Understanding beyond outputs: A novel knowledge distillation method using Schur decomposition. - Chang-Ming Pan; Si-Bao Chen 001; Bo Jiang 002; Bin Luo 001 (Neurocomputing, 2025)

Multi-level semantic-aware transformer for image captioning. - Qin Xu; Shan Song; Qihang Wu; Bo Jiang 002; Bin Luo 001; Jinhui Tang 001 (Neural Networks, 2025)

Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification. - Qin Xu; Shuke Wang; Jie Wei; Bo Jiang 002; Zhifu Tao; Bin Luo 001 (Neural Networks, 2025)

Challenge-aware U-net for breast lesion segmentation in ultrasound images. - Dengdi Sun; Changxu Dong; Yuchen Yan; Bo Jiang 002; Yayang Duan; Zhengzheng Tu; Chaoxue Zhang (Pattern Recognit., 2025)

UAV Video Vehicle Detection: Benchmark and Baseline. - Yun Xiao 003; Jinfa Wang; Zhicheng Zhao 002; Bo Jiang 002; Chenglong Li 002; Jin Tang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multimodal Remote Sensing Image Registration via Modality Perception and Self-Supervised Position Estimation. - Yun Xiao 003; Chunlei Zhang; Bo Jiang 002; Yuan Chen 012; Jin Tang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning. - Ziyan Zhang; Bo Jiang 002; Jin Tang 001; Bin Luo 001 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises. - Ziyan Zhang; Bo Jiang 002; Zhengzheng Tu; Bin Luo 001 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Pre-training on high-resolution X-ray images: an experimental study. - Xiao Wang 014; Yuehang Li; Wentao Wu; Jiandong Jin; Yao Rong; Bo Jiang 002; Chuanfu Li; Jin Tang 001 (Vis. Intell., 2025)

Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation. - Xiao Wang 014; Fuling Wang; Haowen Wang; Bo Jiang 002; Chuanfu Li; Yaowei Wang 001; Yonghong Tian 001; Jin Tang 001 (CoRR, 2025)

Learning Dynamic Batch-Graph Representation for Deep Representation Learning. - Xixi Wang; Bo Jiang 002; Xiao Wang 014; Bin Luo 001 (Int. J. Comput. Vis., 2025)

Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark. - Shiao Wang; Xiao Wang 014; Chao Wang; Liye Jin; Lin Zhu 012; Bo Jiang 002; Yonghong Tian 001; Jinhui Tang 001 (CoRR, 2025)

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion. - Xiao Wang 014; Qingquan Yang; Fuling Wang; Qiang Chen 007; Wentao Wu; Yu Jin; Jingtao Jiang; Liye Jin; Bo Jiang 002; Dengdi Sun; Wanli Lv; Meiwen Chen; et al. (CoRR, 2025)

Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms. - Xiao Wang 014; Yuehang Li; Fuling Wang; Bo Jiang 002; Yaowei Wang 001; Yonghong Tian 001; Jinhui Tang 001; Bin Luo 001 (CoRR, 2025)

Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset. - Shiao Wang; Xiao Wang 014; Bo Jiang 002; Lin Zhu 012; Guoqi Li; Yaowei Wang 001; Yonghong Tian 001; Jin Tang 001 (CoRR, 2025)

RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework. - Xiao Wang 014; Haiyang Wang; Shiao Wang; Qiang Chen 007; Jiandong Jin; Haoyu Song; Bo Jiang 002; Chenglong Li 002 (CoRR, 2025)

CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework. - Wentao Wu; Xiao Wang 014; Chenglong Li 002; Bo Jiang 002; Jin Tang 001; Bin Luo 001; Qi Liu 003 (CoRR, 2025)

Adversarial Attack for RGB-Event based Visual Object Tracking. - Qiang Chen 007; Xiao Wang 014; Haowen Wang; Bo Jiang 002; Lin Zhu 012; Dawei Zhang 002; Yonghong Tian 001; Jin Tang 001 (CoRR, 2025)

Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning. - Xixi Wan; Aihua Zheng; Zi Wang; Bo Jiang 002; Jin Tang 001; Jixin Ma 001 (CoRR, 2025)

Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation. - Jiahui Wang; Qin Xu; Bo Jiang 002; Bin Luo 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach. - Shiao Wang; Xiao Wang 014; Liye Jin; Bo Jiang 002; Lin Zhu 012; Lan Chen; Yonghong Tian 001; Bin Luo 001 (CoRR, 2025)

Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection. - Xiao Wang 014; Yu Jin; Lan Chen; Bo Jiang 002; Lin Zhu 012; Yonghong Tian 001; Jin Tang 001; Bin Luo 001 (CoRR, 2025)

Harmonizing and Merging Source Models for CLIP-based Domain Generalization. - Yuhe Ding; Jian Liang 001; Bo Jiang 002; Zi Wang; Aihua Zheng; Bin Luo 001 (CoRR, 2025)

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions. - Zhaoyang Wei; Chenhui Qiang; Bo Jiang 002; Xumeng Han; Xuehui Yu; Zhenjun Han (CoRR, 2025)

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking. - Shiao Wang; Ju Huang; Qingchuan Ma; Jinfeng Gao; Chunyi Xu; Xiao Wang 014; Lan Chen; Bo Jiang 002 (CoRR, 2025)

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification. - Xixi Wan; Aihua Zheng; Bo Jiang 002; Beibei Wang; Chenglong Li 002; Jin Tang 001 (CoRR, 2025)

Dynamic Rank Adaptation for Vision-Language Models. - Jiahui Wang; Qin Xu; Bo Jiang 002; Bin Luo 001 (CoRR, 2025)

Integrated Structural Prompt Learning for Vision-Language Models. - Jiahui Wang; Qin Xu; Bo Jiang 002; Bin Luo 001 (CoRR, 2025)

Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter. - Bo Jiang 002; Xueyang Ze; Beibei Wang; Xixi Wang; Xixi Wan; Bin Luo 001 (CoRR, 2025)

When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework. - Xiao Wang 014; Qian Zhu; Shujuan Wu; Bo Jiang 002; Shiliang Zhang; Yaowei Wang 001; Yonghong Tian 001; Bin Luo 001 (CoRR, 2025)

ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking. - Xiao Wang 014; Liye Jin; Xufeng Lou; Shiao Wang; Lan Chen; Bo Jiang 002; Zhipeng Zhang (CoRR, 2025)

Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning. - Yumiao Zhao; Bo Jiang 002; Yuhe Ding; Xiao Wang 014; Jin Tang 001; Bin Luo 001 (CoRR, 2025)

Context-Semantic Quality Awareness Network for fine-grained visual categorization. - Qin Xu; Sitong Li; Jiahui Wang; Bo Jiang 002; Bin Luo 001; Jinhui Tang 001 (Pattern Recognit., 2026)