Bo Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 121

Top Venues

Publications

Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Trans. Circuits Syst. Video Technol. 34 (3) (2024)
Bo Jiang, Shuxian Luo, Xiao Wang, Chuanfu Li, Jin Tang
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer. IEEE Trans. Multim. 26 (2024)
Qin Xu, Sitong Li, Jiahui Wang, Bo Jiang, Jinhui Tang
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization. CoRR (2024)
Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang
State Space Model for New-Generation Network Alternative to Transformers: A Survey. CoRR (2024)
Yun Xiao, Chunlei Zhang, Yuan Chen, Bo Jiang, Jin Tang
ADRNet: Affine and Deformable Registration Networks for Multimodal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Xiao Wang, Yuehang Li, Wentao Wu, Jiandong Jin, Yao Rong, Bo Jiang, Chuanfu Li, Jin Tang
Pre-training on High Definition X-ray Images: An Experimental Study. CoRR (2024)
Bo Jiang, Sheng Ge, Ziyan Zhang, Beibei Wang, Jin Tang, Bin Luo
Graph Edge Representation via Tensor Product Graph Convolutional Representation. CoRR (2024)
Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. AAAI (2024)
Yuhe Ding, Bo Jiang, Aijing Yu, Aihua Zheng, Jian Liang
Which Model to Transfer? A Survey on Transferability Estimation. CoRR (2024)
Ziyan Zhang, Bo Jiang, Jin Tang, Bin Luo
Unifying Graph Contrastive Learning via Graph Message Augmentation. CoRR (2024)
Zhengzheng Tu, Zigang Zhu, Yayang Duan, Bo Jiang, Qishun Wang, Chaoxue Zhang
A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos. CoRR (2024)
Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. CoRR (2024)
Xixi Wang, Bo Jiang, Xiao Wang, Jinhui Tang, Bin Luo
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer Based Approach. IEEE Trans. Multim. 26 (2024)
Xiao Wang, Ju Huang, Shiao Wang, Chuanming Tang, Bo Jiang, Yonghong Tian, Jin Tang, Bin Luo
Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline. CoRR (2024)
Hanyu Xuan, Zhiliang Wu, Jian Yang, Bo Jiang, Lei Luo, Xavier Alameda-Pineda, Yan Yan
Robust Audio-Visual Contrastive Learning for Proposal-Based Self-Supervised Sound Source Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Beibei Wang, Bo Jiang, Chris Ding
FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Hui Sun, Ziyan Zhang, Lili Huang, Bo Jiang, Bin Luo
Category-Aware Siamese Learning Network for Few-Shot Segmentation. Cogn. Comput. 16 (3) (2024)
Bo Jiang, Hao Wu, Ziyan Zhang, Beibei Wang, Jin Tang
A Unified Graph Selective Prompt Learning for Graph Neural Networks. CoRR (2024)
Bo Jiang, Leiling Wang, Jian Cheng, Jin Tang, Bin Luo
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Ming Liu, Lili Huang, Bo Jiang, Chuanfu Li, Jin Tang
Chest X-ray Image Quality Control via Transformer and Label Correlation Regularization Loss. ISAIMS (2023)
Bo Jiang, Beibei Wang, Bin Luo
Sparse norm regularized attribute selection for graph neural networks. Pattern Recognit. 137 (2023)
Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. IEEE Trans. Multim. 25 (2023)
Qin Xu, Jiahui Wang, Bo Jiang, Bin Luo
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer. IEEE Trans. Multim. 25 (2023)
Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Bin Luo
DropAGG: Robust Graph Neural Networks via Drop Aggregation. Neural Networks 163 (2023)
Jiahui Wang, Qin Xu, Bo Jiang, Bin Luo
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation. CoRR (2023)
Bo Jiang, Beibei Wang, Si Chen, Jin Tang, Bin Luo
Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Bo Jiang, Zitian Wang, Xixi Wang, Ziyan Zhang, Lan Chen, Xiao Wang, Bin Luo
VcT: Visual Change Transformer for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Beibei Wang, Bo Jiang
Data Representation via Attribute Selection- Propagation Neural Network. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Qin Xu, Jing Lin, Bo Jiang, Jinpei Liu, Bin Luo
Hypergraph convolutional network for hyperspectral image classification. Neural Comput. Appl. 35 (29) (2023)
Beibei Wang, Bo Jiang, Jin Tang, Bin Luo
Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Chengmei Han, Bo Jiang, Jin Tang
Multi-granularity cross attention network for person re-identification. Multim. Tools Appl. 82 (10) (2023)
Bo Jiang, Chengguo Yuan, Xiao Wang, Zhimin Bao, Lin Zhu, Bin Luo
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition. CoRR (2023)
Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. CoRR (2023)
Xixi Wang, Xiao Wang, Bo Jiang, Bin Luo
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. 33 (12) (2023)
Qin Xu, Shiji Liu, Jiahui Wang, Bo Jiang, Jin Tang
ITransUNet: Spatial-Spectral Interactive Transformer U-Net With Alternating Sampling for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Bo Jiang, Kangkang Zhao, Jin Tang
RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification. IEEE Signal Process. Lett. 29 (2022)
Beibei Wang, Bo Jiang
Spiking GATs: Learning Graph Attentions via Spiking Neural Network. CoRR (2022)
Aihua Zheng, Menglan Hu, Bo Jiang, Yan Huang, Yan Yan, Bin Luo
Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching. IEEE Trans. Multim. 24 (2022)
Beibei Wang, Bo Jiang
Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators. CoRR (2022)
Bo Jiang, Pengfei Sun, Bin Luo
GLMNet: Graph learning-matching convolutional networks for feature matching. Pattern Recognit. 121 (2022)
Bo Jiang, Beibei Wang, Jin Tang, Bin Luo
GeCNs: Graph Elastic Convolutional Networks for Data Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Bo Jiang, Xixi Wang, Aihua Zheng, Jin Tang, Bin Luo
PH-GCN: Person Retrieval With Part-Based Hierarchical Graph Convolutional Network. IEEE Trans. Multim. 24 (2022)
Aihua Zheng, Mengya Feng, Peng Pan, Bo Jiang, Bin Luo
Attributes Based Visible-Infrared Person Re-identification. PRCV (1) (2022)
Bo Jiang, Si Chen, Beibei Wang, Bin Luo
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks. Neural Networks 153 (2022)
Kangkang Zhao, Ziyan Zhang, Bo Jiang, Jin Tang
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning. Neural Networks 155 (2022)
Ziyan Zhang, Bo Jiang, Bin Luo
Unified GCNs: Towards Connecting GCNs with CNNs. CoRR (2022)
Xiao Wang, Zhe Chen, Bo Jiang, Jin Tang, Bin Luo, Dacheng Tao
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search. IEEE Trans. Image Process. 31 (2022)
Bo Jiang, Pengfei Sun, Ziyan Zhang, Jin Tang, Bin Luo
GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network. ACM Multimedia (2021)
Bo Jiang, Yuan Zhang, Bin Luo, Xiaochun Cao, Jin Tang
STGL: Spatial-Temporal Graph Representation and Learning for Visual Tracking. IEEE Trans. Multim. 23 (2021)
Aihua Zheng, Jiacheng Dong, Xianmin Lin, Lidan Liu, Bo Jiang, Bin Luo
Visual Cognition-Inspired Multi-View Vehicle Re-Identification via Laplacian-Regularized Correlative Sparse Ranking. Cogn. Comput. 13 (4) (2021)
Bo Jiang, Xingyue Jiang, Jin Tang, Bin Luo
Co-Saliency Detection via a General Optimization Model and Adaptive Graph Learning. IEEE Trans. Multim. 23 (2021)
Bo Jiang, Zitai Zhou, Xiao Wang, Jin Tang, Bin Luo
cmSalGAN: RGB-D Salient Object Detection With Cross-View Generative Adversarial Networks. IEEE Trans. Multim. 23 (2021)
Zhengzheng Tu, Ajian Zhou, Chuang Gan, Bo Jiang, Amir Hussain, Bin Luo
A novel domain activation mapping-guided network (DA-GNT) for visual tracking. Neurocomputing 449 (2021)
Ziyan Zhang, Bo Jiang, Bin Luo
MGARL: Multiple Graph Adversarial Regularized Learning. ICME (2021)
Bo Jiang, Chris Ding
-Norm Robustness With Vector Outlier Regularization. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Bo Jiang, Sheng Wang, Xiao Wang, Aihua Zheng
SaADB: A Self-attention Guided ADB Network for Person Re-identification. CoRR (2020)
Aihua Zheng, Xuehan Zhang, Bo Jiang, Bin Luo, Chenglong Li
A Subspace Learning Approach to Multishot Person Reidentification. IEEE Trans. Syst. Man Cybern. Syst. 50 (1) (2020)
Bo Jiang, Ziyan Zhang
RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises. CoRR (2020)
Bo Jiang, Jin Tang, Bin Luo
Feature Matching With Intra-Group Sparse Model. IEEE Trans. Multim. 22 (8) (2020)
Aihua Zheng, Hongchao Li, Bo Jiang, Wei-Shi Zheng, Bin Luo
Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification. Pattern Recognit. 104 (2020)
Bo Jiang, Pengfei Sun, Jin Tang, Bin Luo
GLMNet: Graph Learning-Matching Networks for Feature Matching. CoRR (2019)
Bo Jiang, Xingyue Jiang, Jin Tang, Bin Luo, Shilei Huang
Multiple Graph Convolutional Networks for Co-Saliency Detection. ICME (2019)
Bo Jiang, Beibei Wang, Jin Tang, Bin Luo
Graph Mask Convolutional Network. CoRR (2019)
Ying Yang, Bo Jiang, Yun Xiao, Jin Tang
Salient Object Detection via Graph-Based Flexible Manifold Ranking. BICS (2019)
Zhengzheng Tu, Ajian Zhou, Bo Jiang, Bin Luo
Visual Object Tracking via Graph Convolutional Representation. ICME Workshops (2019)
Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo
Semi-Supervised Learning With Graph Learning-Convolutional Networks. CVPR (2019)
Yun Xiao, Bo Jiang, Aihua Zheng, Aiwu Zhou, Amir Hussain, Jin Tang
Saliency detection via multi-view graph based saliency optimization. Neurocomputing 351 (2019)
Bo Jiang, Xixi Wang, Bin Luo
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network. CoRR (2019)
Lihua Wang, Bo Jiang, Zhengzheng Tu, Amir Hussain, Jin Tang
Robust pixelwise saliency detection via progressive graph rankings. Neurocomputing 329 (2019)
Bo Jiang, Zitai Zhou, Xiao Wang, Jin Tang
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks. CoRR (2019)
Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo
Graph Optimized Convolutional Networks. CoRR (2019)
Bo Jiang, Xingyue Jiang, Ajian Zhou, Jin Tang, Bin Luo
A Unified Multiple Graph Learning and Convolutional Network Model for Co-saliency Estimation. ACM Multimedia (2019)
Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo, Chenglong Li
Robust visual tracking via Laplacian Regularized Random Walk Ranking. Neurocomputing 339 (2019)
Bo Jiang, Doudou Lin, Jin Tang, Bin Luo
Data Representation and Learning With Graph Diffusion-Embedding Networks. CVPR (2019)
Bo Jiang, Leiling Wang, Jin Tang, Bin Luo
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network. CoRR (2019)
Bo Jiang, Jin Tang, Bin Luo
Efficient Feature Matching via Nonnegative Orthogonal Relaxation. Int. J. Comput. Vis. 127 (9) (2019)
Bo Jiang, Leiling Wang, Jin Tang, Bin Luo
Context-Aware Graph Attention Networks. CoRR (2019)
Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo
Multiple Graph Adversarial Learning. CoRR (2019)
Bo Jiang, Yibing Lv, Aihua Zheng, Bin Luo
Person Re-identification with Patch-Based Local Sparse Matching and Metric Learning. ICIG (2) (2019)
Bo Jiang, Xixi Wang, Jin Tang
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification. CoRR (2019)
Aihua Zheng, Tian Zou, Yumiao Zhao, Bo Jiang, Jin Tang, Chenglong Li
Background subtraction with multi-scale structured low-rank and sparse factorization. Neurocomputing 328 (2019)
Bo Jiang, Chris Ding, Jin Tang, Bin Luo
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition. IEEE Trans. Cybern. 49 (4) (2019)
Bo Jiang, Zhouqin He, Chris Ding, Bin Luo
Saliency detection via a multi-layer graph based diffusion model. Neurocomputing 314 (2018)
Bo Jiang, Yuan Zhang, Youxia Cao, Bin Luo
Image Set Representation with Robust Manifold Regularized Low-Rank Approximation. IGTA (2018)
Bo Jiang, Doudou Lin, Jin Tang, Bin Luo
Visual Object Tracking via Graph Learning and Flexible Manifold Ranking. PCM (1) (2018)
Bo Jiang, Doudou Lin
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning. CoRR (2018)
Bo Jiang, Doudou Lin, Bin Luo, Jin Tang
Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking. CoRR (2018)
Dengdi Sun, Lidan Liu, Aihua Zheng, Bo Jiang, Bin Luo
Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features. BICS (2018)
Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo
OWP: Objectness Weighted Patch Descriptor for Visual Tracking. ICPR (2018)
Yun Xiao, Bo Jiang, Zhengzheng Tu, Jixin Ma, Jin Tang
A prior regularized multi-layer graph ranking model for image saliency computation. Neurocomputing 315 (2018)
Aihua Zheng, Hongchao Li, Bo Jiang, Chenglong Li, Jin Tang, Bin Luo
Non-negative Dual Graph Regularized Sparse Ranking for Multi-shot Person Re-identification. PRCV (1) (2018)
Bo Jiang, Xingyue Jiang, Aihua Zheng, Yun Xiao, Jin Tang
Multi-scale Cooperative Ranking for Saliency Detection. PRCV (1) (2018)
Aihua Zheng, Foqin Wang, Amir Hussain, Jin Tang, Bo Jiang
Spatial-temporal representatives selection and weighted patch descriptor for person re-identification. Neurocomputing 290 (2018)
Yuanyuan Guan, Bo Jiang, Yuan Zhang, Aihua Zheng, Dengdi Sun, Bin Luo
Saliency Detection via Multi-view Synchronized Manifold Ranking. BICS (2018)
Bo Jiang, Chris Ding, Bin Luo
Robust data representation using locally linear embedding guided PCA. Neurocomputing 275 (2018)
Bo Jiang, Doudou Lin, Jin Tang
Graph Diffusion-Embedding Networks. CoRR (2018)
Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang
Graph Learning-Convolutional Networks. CoRR (2018)
Bo Jiang, Jin Tang, Aihua Zheng, Bin Luo
Image representation and matching with geometric-edge random structure graph. Pattern Recognit. Lett. 87 (2017)
Zhuqiang Chen, Bo Jiang, Jin Tang, Bin Luo
Image Set Representation and Classification with Attributed Covariate-Relation Graph Model and Graph Sparse Representation Classification. Neurocomputing 226 (2017)
Yuanyuan Guan, Bo Jiang, Yun Xiao, Jin Tang, Bin Luo
A new graph ranking model for image saliency detection problem. SERA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bo Jiang