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ORCIDBo Jiang 0002
Person information
- affiliation (PhD 2015): Anhui University, School of Computer Science and Technology, Hefei, China
Other persons with the same name
- Bo Jiang — disambiguation page
- Bo Jiang 0001
![[0000-0003-0864-1665]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0864-1665")
— Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more) - Bo Jiang 0003 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China (and 1 more)
- Bo Jiang 0004 — Dalian Maritime University, School of Information Science and Technology, China
- Bo Jiang 0005 — Harvard University, Cambridge, Department of Statistics, MA, USA (and 1 more)
- Bo Jiang 0006 — Beijing Normal University, School of Geography, State Key Laboratory of Remote Sensing Science, China
- Bo Jiang 0007 — Shanghai University of Finance and Economics, School of Information Management and Engineering, China (and 1 more)
- Bo Jiang 0008 — Intel Corporation, Hillsboro, USA (and 1 more)
- Bo Jiang 0009 — Zhejiang Gongshang University, College of Computer and Information Engineering, Hangzhou, China (and 1 more)
- Bo Jiang 0010 — Nanjing Normal University, School of Mathematical Sciences, China
- Bo Jiang 0011 — Huazhong University of Science and Technology, Wuhan, China
- Bo Jiang 0012 — National Institute of Aerospace, Hampton, VA, USA (and 1 more)
- Bo Jiang 0013 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Bo Jiang 0014 — Northwest University, School of Information Science and Technology, Xi'an, China
- Bo Jiang 0015 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Bo Jiang 0016 — East China Normal University, Department of Educational Information Technology, Shanghai, China (and 3 more)
- Bo Jiang 0017 — Harbin Institute of Technology at Shenzhen, Department of Computer Science and Technology, Shenzhen, China (and 1 more)
- Bo Jiang 0018 — Nanjing University of Posts and Telecommunications, School of Education Science and Technology, Nanjing, China
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2020 – today
- 2025
[j70]Xixi Wang, Bo Jiang, Xiao Wang, Bin Luo:
Learning Dynamic Batch-Graph Representation for Deep Representation Learning. Int. J. Comput. Vis. 133(1): 84-105 (2025)- [j69]Yun Xiao, Jinfa Wang, Zhicheng Zhao, Bo Jiang, Chenglong Li, Jin Tang:
UAV Video Vehicle Detection: Benchmark and Baseline. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j68]Ziyan Zhang, Bo Jiang, Jin Tang, Bin Luo:
Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning. IEEE Trans. Signal Inf. Process. over Networks 11: 71-84 (2025) - [i63]Xiao Wang, Fuling Wang, Haowen Wang, Bo Jiang, Chuanfu Li, Yaowei Wang, Yonghong Tian, Jin Tang:
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation. CoRR abs/2501.03458 (2025) - [i62]Shiao Wang, Xiao Wang, Chao Wang, Liye Jin, Lin Zhu, Bo Jiang, Yonghong Tian, Jinhui Tang:
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark. CoRR abs/2502.05574 (2025) - [i61]Xiao Wang, Qingquan Yang, Fuling Wang, Qiang Chen, Wentao Wu, Yu Jin, Jingtao Jiang, Liye Jin, Bo Jiang, Dengdi Sun, Wanli Lv, Meiwen Chen, Zehua Chen, Guosheng Xu, Jin Tang:
XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion. CoRR abs/2502.05615 (2025) - 2024
- [j67]Hui Sun, Ziyan Zhang, Lili Huang, Bo Jiang, Bin Luo:
Category-Aware Siamese Learning Network for Few-Shot Segmentation. Cogn. Comput. 16(3): 924-935 (2024) - [j66]Xixi Wang, Xiao Wang, Bo Jiang, Jin Tang, Bin Luo:
MutualFormer: Multi-modal Representation Learning via Cross-Diffusion Attention. Int. J. Comput. Vis. 132(9): 3867-3888 (2024) - [j65]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): 4896-4907 (2024) - [j64]Bo Jiang, Ziyan Zhang, Sheng Ge, Beibei Wang, Xiao Wang, Jin Tang:
Learning Graph Attentions via Replicator Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7720-7727 (2024) - [j63]Ziyan Zhang, Bo Jiang, Jin Tang, Jinhui Tang, Bin Luo:
Incomplete Graph Learning via Partial Graph Convolutional Network. IEEE Trans. Artif. Intell. 5(9): 4315-4321 (2024) - [j62]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): 1376-1387 (2024) - [j61]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: 1-13 (2024) - [j60]Jiahui Wang, Qin Xu, Bo Jiang, Bin Luo, Jinhui Tang:
Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification. IEEE Trans. Image Process. 33: 4529-4542 (2024) - [j59]Bo Jiang, Shuxian Luo, Xiao Wang, Chuanfu Li, Jin Tang:
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer. IEEE Trans. Multim. 26: 1504-1515 (2024) - [j58]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: 1578-1588 (2024) - [j57]Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Jin Tang:
GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16975-16980 (2024) - [j56]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): 750-760 (2024) - [c48]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: 5615-5623 - [c47]Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang:
Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CVPR 2024: 19248-19257 - [c46]Bo Jiang, Yapeng Li, Xixi Wan, Yuan Chen, Zhengzheng Tu, Yumiao Zhao, Jin Tang:
MGDR: Multi-modal Graph Disentangled Representation for Brain Disease Prediction. MICCAI (2) 2024: 302-312 - [c45]Ju Huang, Shiao Wang, Shuai Wang, Zhe Wu, Xiao Wang, Bo Jiang:
Mamba-FETrack: Frame-Event Tracking via State Space Model. PRCV (12) 2024: 3-18 - [i60]Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang:
CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. CoRR abs/2401.02826 (2024) - [i59]Ziyan Zhang, Bo Jiang, Jin Tang, Bin Luo:
Unifying Graph Contrastive Learning via Graph Message Augmentation. CoRR abs/2401.03638 (2024) - [i58]Yuhe Ding, Bo Jiang, Aijing Yu, Aihua Zheng, Jian Liang:
Which Model to Transfer? A Survey on Transferability Estimation. CoRR abs/2402.15231 (2024) - [i57]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 abs/2403.05839 (2024) - [i56]Qin Xu, Sitong Li, Jiahui Wang, Bo Jiang, Jinhui Tang:
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization. CoRR abs/2403.10298 (2024) - [i55]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 abs/2403.11699 (2024) - [i54]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 abs/2404.09516 (2024) - [i53]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 abs/2404.17926 (2024) - [i52]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 abs/2404.17929 (2024) - [i51]Ju Huang, Shiao Wang, Shuai Wang, Zhe Wu, Xiao Wang, Bo Jiang:
Mamba-FETrack: Frame-Event Tracking via State Space Model. CoRR abs/2404.18174 (2024) - [i50]Bo Jiang, Hao Wu, Ziyan Zhang, Beibei Wang, Jin Tang:
A Unified Graph Selective Prompt Learning for Graph Neural Networks. CoRR abs/2406.10498 (2024) - [i49]Bo Jiang, Sheng Ge, Ziyan Zhang, Beibei Wang, Jin Tang, Bin Luo:
Graph Edge Representation via Tensor Product Graph Convolutional Representation. CoRR abs/2406.14846 (2024) - [i48]Xixi Wang, Zitian Wang, Jingtao Jiang, Lan Chen, Xiao Wang, Bo Jiang:
Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining. CoRR abs/2408.08078 (2024) - [i47]Xiao Wang, Yuehang Li, Fuling Wang, Shiao Wang, Chuanfu Li, Bo Jiang:
R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation. CoRR abs/2408.09743 (2024) - [i46]Xiao Wang, Shiao Wang, Pengpeng Shao, Bo Jiang, Lin Zhu, Yonghong Tian:
Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms. CoRR abs/2408.09764 (2024) - [i45]Xiao Wang, Chao wang, Shiao Wang, Xixi Wang, Zhicheng Zhao, Lin Zhu, Bo Jiang:
MambaEVT: Event Stream based Visual Object Tracking using State Space Model. CoRR abs/2408.10487 (2024) - [i44]Xiao Wang, Yao Rong, Fuling Wang, Jianing Li, Lin Zhu, Bo Jiang, Yaowei Wang:
Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm. CoRR abs/2408.10488 (2024) - [i43]Xiao Wang, Fuling Wang, Yuehang Li, Qingchuan Ma, Shiao Wang, Bo Jiang, Chuanfu Li, Jin Tang:
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset. CoRR abs/2410.00379 (2024) - [i42]Yumiao Zhao, Bo Jiang, Xiao Wang, Qin Xu, Jin Tang:
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter. CoRR abs/2410.07854 (2024) - [i41]Bo Jiang, Hao Wu, Beibei Wang, Jin Tang, Bin Luo:
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting. CoRR abs/2410.21749 (2024) - [i40]Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian:
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. CoRR abs/2412.06647 (2024) - [i39]Yuhe Ding, Bo Jiang, Aihua Zheng, Qin Xu, Jian Liang:
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks. CoRR abs/2412.20682 (2024) - 2023
- [j55]Haiyun Xu, Shaojie Zhang, Bo Jiang, Jin Tang:
Graph context-attention network via low and high order aggregation. Neurocomputing 536: 152-163 (2023) - [j54]Chengmei Han, Bo Jiang, Jin Tang:
Multi-granularity cross attention network for person re-identification. Multim. Tools Appl. 82(10): 14755-14773 (2023) - [j53]Qin Xu, Jing Lin, Bo Jiang, Jinpei Liu, Bin Luo:
Hypergraph convolutional network for hyperspectral image classification. Neural Comput. Appl. 35(29): 21863-21882 (2023) - [j52]Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Bin Luo:
DropAGG: Robust Graph Neural Networks via Drop Aggregation. Neural Networks 163: 65-74 (2023) - [j51]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): 12692-12698 (2023) - [j50]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): 13454-13466 (2023) - [j49]Bo Jiang, Beibei Wang, Bin Luo:
Sparse norm regularized attribute selection for graph neural networks. Pattern Recognit. 137: 109265 (2023) - [j48]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): 7789-7802 (2023) - [j47]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: 1-14 (2023) - [j46]Qin Xu, Shiji Liu, Jiahui Wang, Bo Jiang, Jin Tang:
AS3ITransUNet: Spatial-Spectral Interactive Transformer U-Net With Alternating Sampling for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j45]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: 4335-4348 (2023) - [j44]Qin Xu, Jiahui Wang, Bo Jiang, Bin Luo:
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer. IEEE Trans. Multim. 25: 9015-9028 (2023) - [j43]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): 3925-3938 (2023) - [j42]Beibei Wang, Bo Jiang:
Data Representation via Attribute Selection- Propagation Neural Network. IEEE Trans. Signal Inf. Process. over Networks 9: 258-267 (2023) - [c44]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: 258-264 - [i38]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 abs/2302.04589 (2023) - [i37]Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie:
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer. CoRR abs/2305.07521 (2023) - [i36]Bo Jiang, Shuxian Luo, Xiao Wang, Chuanfu Li, Jin Tang:
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer. CoRR abs/2305.19205 (2023) - [i35]Bo Jiang, Chengguo Yuan, Xiao Wang, Zhimin Bao, Lin Zhu, Bin Luo:
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition. CoRR abs/2306.05239 (2023) - [i34]Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian:
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. CoRR abs/2308.04369 (2023) - [i33]Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang:
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CoRR abs/2309.14611 (2023) - [i32]Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang:
Unleashing the power of Neural Collapse for Transferability Estimation. CoRR abs/2310.05754 (2023) - [i31]Bo Jiang, Zitian Wang, Xixi Wang, Ziyan Zhang, Lan Chen, Xiao Wang, Bin Luo:
VcT: Visual change Transformer for Remote Sensing Image Change Detection. CoRR abs/2310.11417 (2023) - [i30]Jiahui Wang, Qin Xu, Bo Jiang, Bin Luo:
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation. CoRR abs/2311.17096 (2023) - [i29]Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang:
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. CoRR abs/2312.11128 (2023) - 2022
- [j41]Huifang Xu, Bo Jiang, Chris Ding:
MvInf: Social Influence Prediction with Multi-view Graph Attention Learning. Cogn. Comput. 14(3): 1182-1188 (2022) - [j40]Haiyun Xu, Bo Jiang, Lili Huang, Jin Tang, Shaojie Zhang:
Multi-head collaborative learning for graph neural networks. Neurocomputing 499: 47-53 (2022) - [j39]Bo Jiang, Si Chen, Beibei Wang, Bin Luo:
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks. Neural Networks 153: 204-214 (2022) - [j38]Kangkang Zhao, Ziyan Zhang, Bo Jiang, Jin Tang:
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning. Neural Networks 155: 50-57 (2022) - [j37]Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
GeCNs: Graph Elastic Convolutional Networks for Data Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4935-4947 (2022) - [j36]Bo Jiang, Pengfei Sun, Bin Luo:
GLMNet: Graph learning-matching convolutional networks for feature matching. Pattern Recognit. 121: 108167 (2022) - [j35]Bo Jiang, Kangkang Zhao, Jin Tang:
RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification. IEEE Signal Process. Lett. 29: 792-796 (2022) - [j34]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: 6239-6254 (2022) - [j33]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: 338-351 (2022) - [j32]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: 3218-3228 (2022) - [c43]Haiyun Xu, Lili Huang, Bo Jiang, Jin Tang, Shaojie Zhang:
Semi-supervised Learning via Multiple Layer Graph Regularized Perception. ICPR 2022: 3112-3118 - [c42]Aihua Zheng, Mengya Feng, Peng Pan, Bo Jiang, Bin Luo:
Attributes Based Visible-Infrared Person Re-identification. PRCV (1) 2022: 254-266 - [i28]Beibei Wang, Bo Jiang:
Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators. CoRR abs/2202.09145 (2022) - [i27]Ziyan Zhang, Bo Jiang, Bin Luo:
Unified GCNs: Towards Connecting GCNs with CNNs. CoRR abs/2204.12300 (2022) - [i26]Xixi Wang, Xiao Wang, Bo Jiang, Bin Luo:
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification. CoRR abs/2208.12398 (2022) - [i25]Beibei Wang, Bo Jiang:
Spiking GATs: Learning Graph Attentions via Spiking Neural Network. CoRR abs/2209.13539 (2022) - [i24]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. CoRR abs/2211.09648 (2022) - [i23]Xixi Wang, Bo Jiang, Xiao Wang, Bin Luo:
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach. CoRR abs/2211.10622 (2022) - [i22]Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang, Yaowei Wang, Yonghong Tian:
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric. CoRR abs/2211.11010 (2022) - 2021
- [j31]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): 859-872 (2021) - [j30]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: 443-454 (2021) - [j29]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: 1343-1353 (2021) - [j28]Bo Jiang, Yuan Zhang, Bin Luo, Xiaochun Cao, Jin Tang:
STGL: Spatial-Temporal Graph Representation and Learning for Visual Tracking. IEEE Trans. Multim. 23: 2162-2171 (2021) - [j27]Bo Jiang, Xingyue Jiang, Jin Tang, Bin Luo:
Co-Saliency Detection via a General Optimization Model and Adaptive Graph Learning. IEEE Trans. Multim. 23: 3193-3202 (2021) - [c41]Zhentao Jiang, Qiang Chen, Bo Jiang, Cong Leng, Jian Cheng:
Weakly Supervised Salient Object Detection with Box Annotation. ACPR (1) 2021: 197-211 - [c40]Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. CVPR 2021: 13763-13773 - [c39]Jin Wang, Bo Jiang:
Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs. ICCVW 2021: 885-892 - [c38]Ziyan Zhang, Bo Jiang, Bin Luo:
MGARL: Multiple Graph Adversarial Regularized Learning. ICME 2021: 1-6 - [c37]Bo Jiang, Pengfei Sun, Ziyan Zhang, Jin Tang, Bin Luo:
GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network. ACM Multimedia 2021: 5419-5426 - [i21]Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark. CoRR abs/2103.16746 (2021) - [i20]Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. CoRR abs/2107.10433 (2021) - [i19]Xixi Wang, Bo Jiang, Xiao Wang, Bin Luo:
MutualFormer: Multi-Modality Representation Learning via Mutual Transformer. CoRR abs/2112.01177 (2021) - 2020
- [j26]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: 107352 (2020) - [j25]Bo Jiang, Jin Tang, Bin Luo:
Feature Matching With Intra-Group Sparse Model. IEEE Trans. Multim. 22(8): 2074-2085 (2020) - [j24]Bo Jiang, Chris Ding:
Revisiting L2, 1-Norm Robustness With Vector Outlier Regularization. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5624-5629 (2020) - [j23]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): 149-158 (2020) - [c36]Yu Zhu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li, Cong Leng, Bo Jiang, Yifan Zhang, Jian Cheng:
EEDNet: Enhanced Encoder-Decoder Network for AutoISP. ECCV Workshops (3) 2020: 171-184 - [i18]Bo Jiang, Ziyan Zhang:
RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises. CoRR abs/2003.10130 (2020) - [i17]Bo Jiang, Sheng Wang, Xiao Wang, Aihua Zheng:
SaADB: A Self-attention Guided ADB Network for Person Re-identification. CoRR abs/2007.03584 (2020)
2010 – 2019
- 2019
- [j22]Bo Jiang, Jin Tang, Bin Luo:
Efficient Feature Matching via Nonnegative Orthogonal Relaxation. Int. J. Comput. Vis. 127(9): 1345-1360 (2019) - [j21]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: 113-121 (2019) - [j20]Lihua Wang, Bo Jiang, Zhengzheng Tu, Amir Hussain, Jin Tang:
Robust pixelwise saliency detection via progressive graph rankings. Neurocomputing 329: 433-446 (2019) - [j19]Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo, Chenglong Li:
Robust visual tracking via Laplacian Regularized Random Walk Ranking. Neurocomputing 339: 139-148 (2019) - [j18]Yun Xiao, Bo Jiang, Aihua Zheng, Aiwu Zhou, Amir Hussain, Jin Tang:
Saliency detection via multi-view graph based saliency optimization. Neurocomputing 351: 156-166 (2019) - [j17]Bo Jiang, Chris Ding, Jin Tang, Bin Luo:
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition. IEEE Trans. Cybern. 49(4): 1417-1426 (2019) - [c35]Ying Yang, Bo Jiang, Yun Xiao, Jin Tang:
Salient Object Detection via Graph-Based Flexible Manifold Ranking. BICS 2019: 396-405 - [c34]Bo Jiang, Doudou Lin, Jin Tang, Bin Luo:
Data Representation and Learning With Graph Diffusion-Embedding Networks. CVPR 2019: 10414-10423 - [c33]Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo:
Semi-Supervised Learning With Graph Learning-Convolutional Networks. CVPR 2019: 11313-11320 - [c32]Bo Jiang, Yibing Lv, Aihua Zheng, Bin Luo:
Person Re-identification with Patch-Based Local Sparse Matching and Metric Learning. ICIG (2) 2019: 143-154 - [c31]Zhengzheng Tu, Ajian Zhou, Bo Jiang, Bin Luo:
Visual Object Tracking via Graph Convolutional Representation. ICME Workshops 2019: 234-239 - [c30]Bo Jiang, Xingyue Jiang, Jin Tang, Bin Luo, Shilei Huang:
Multiple Graph Convolutional Networks for Co-Saliency Detection. ICME 2019: 332-337 - [c29]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: 1375-1382 - [i16]Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo:
Multiple Graph Adversarial Learning. CoRR abs/1901.07439 (2019) - [i15]Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo:
Graph Optimized Convolutional Networks. CoRR abs/1904.11883 (2019) - [i14]Bo Jiang, Xixi Wang, Bin Luo:
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network. CoRR abs/1907.08822 (2019) - [i13]Bo Jiang, Leiling Wang, Jin Tang, Bin Luo:
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network. CoRR abs/1908.05153 (2019) - [i12]Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
Graph Mask Convolutional Network. CoRR abs/1910.01735 (2019) - [i11]Bo Jiang, Leiling Wang, Jin Tang, Bin Luo:
Context-Aware Graph Attention Networks. CoRR abs/1910.01736 (2019) - [i10]Bo Jiang, Pengfei Sun, Jin Tang, Bin Luo:
GLMNet: Graph Learning-Matching Networks for Feature Matching. CoRR abs/1911.07681 (2019) - [i9]Bo Jiang, Xixi Wang, Jin Tang:
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification. CoRR abs/1911.10544 (2019) - [i8]Bo Jiang, Zitai Zhou, Xiao Wang, Jin Tang:
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks. CoRR abs/1912.10280 (2019) - 2018
- [j16]Bo Jiang, Chris Ding, Bin Luo:
Robust data representation using locally linear embedding guided PCA. Neurocomputing 275: 523-532 (2018) - [j15]Aihua Zheng, Foqin Wang, Amir Hussain, Jin Tang, Bo Jiang:
Spatial-temporal representatives selection and weighted patch descriptor for person re-identification. Neurocomputing 290: 121-129 (2018) - [j14]Bo Jiang, Zhouqin He, Chris Ding, Bin Luo:
Saliency detection via a multi-layer graph based diffusion model. Neurocomputing 314: 215-223 (2018) - [j13]Yun Xiao, Bo Jiang, Zhengzheng Tu, Jixin Ma, Jin Tang:
A prior regularized multi-layer graph ranking model for image saliency computation. Neurocomputing 315: 234-245 (2018) - [c28]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: 54-63 - [c27]Yuanyuan Guan, Bo Jiang, Yuan Zhang, Aihua Zheng, Dengdi Sun, Bin Luo:
Saliency Detection via Multi-view Synchronized Manifold Ranking. BICS 2018: 473-483 - [c26]Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo:
OWP: Objectness Weighted Patch Descriptor for Visual Tracking. ICPR 2018: 2118-2123 - [c25]Bo Jiang, Yuan Zhang, Youxia Cao, Bin Luo:
Image Set Representation with Robust Manifold Regularized Low-Rank Approximation. IGTA 2018: 506-516 - [c24]Bo Jiang, Doudou Lin, Jin Tang, Bin Luo:
Visual Object Tracking via Graph Learning and Flexible Manifold Ranking. PCM (1) 2018: 313-323 - [c23]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: 108-120 - [c22]Bo Jiang, Xingyue Jiang, Aihua Zheng, Yun Xiao, Jin Tang:
Multi-scale Cooperative Ranking for Saliency Detection. PRCV (1) 2018: 574-585 - [i7]Bo Jiang, Doudou Lin, Bin Luo, Jin Tang:
Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking. CoRR abs/1804.06253 (2018) - [i6]Bo Jiang, Doudou Lin:
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning. CoRR abs/1809.09839 (2018) - [i5]Bo Jiang, Doudou Lin, Jin Tang:
Graph Diffusion-Embedding Networks. CoRR abs/1810.00797 (2018) - [i4]Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang:
Graph Learning-Convolutional Networks. CoRR abs/1811.09971 (2018) - 2017
- [j12]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: 262-268 (2017) - [j11]Yun Xiao, Liangmin Wang, Bo Jiang, Zhengzheng Tu, Jin Tang:
A global and local consistent ranking model for image saliency computation. J. Vis. Commun. Image Represent. 46: 199-207 (2017) - [j10]Bo Jiang, Jin Tang, Xiaochun Cao, Bin Luo:
Lagrangian relaxation graph matching. Pattern Recognit. 61: 255-265 (2017) - [j9]Bo Jiang, Jin Tang, Aihua Zheng, Bin Luo:
Image representation and matching with geometric-edge random structure graph. Pattern Recognit. Lett. 87: 20-28 (2017) - [c21]Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo:
Nonnegative Orthogonal Graph Matching. AAAI 2017: 4089-4095 - [c20]Yun Xiao, Bo Jiang, Zhengzheng Tu, Jin Tang:
Visual Saliency Detection via Prior Regularized Manifold Ranking. CCCV (3) 2017: 711-722 - [c19]Bo Jiang, Jin Tang, Chris Ding, Bin Luo:
Binary Constraint Preserving Graph Matching. CVPR 2017: 550-557 - [c18]Zhouqin He, Bo Jiang, Yun Xiao, Chris H. Q. Ding, Bin Luo:
Saliency Detection via A Graph Based Diffusion Model. GbRPR 2017: 3-12 - [c17]Youxia Cao, Bo Jiang, Jin Tang, Bin Luo:
Image Set Representation with L_1 -Norm Optimal Mean Robust Principal Component Analysis. ICIG (2) 2017: 119-128 - [c16]Weijieying Ren, Lei Zhang, Bo Jiang, Zhefeng Wang, Guangming Guo, Guiquan Liu:
Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels. KSEM 2017: 543-551 - [c15]Zhenyu Tang, Yue Cui, Bo Jiang:
Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery. MICCAI (2) 2017: 397-405 - [c14]Bo Jiang, Jin Tang, Chris Ding, Yihong Gong, Bin Luo:
Graph Matching via Multiplicative Update Algorithm. NIPS 2017: 3187-3195 - [c13]Yuanyuan Guan, Bo Jiang, Yun Xiao, Jin Tang, Bin Luo:
A new graph ranking model for image saliency detection problem. SERA 2017: 151-156 - [i3]Bo Jiang, Chris H. Q. Ding, Bin Luo:
Multiple Images Recovery Using a Single Affine Transformation. CoRR abs/1705.08066 (2017) - [i2]Chris Ding, Bo Jiang:
L1-norm Error Function Robustness and Outlier Regularization. CoRR abs/1705.09954 (2017) - [i1]Bo Jiang, Chris Ding:
Outlier Regularization for Vector Data and L21 Norm Robustness. CoRR abs/1706.06409 (2017) - 2016
- [j8]Meili Zhao, Bo Jiang, Bin Luo, Jin Tang:
Common Visual Patterns Discovery with an Elastic Matching Model. Cogn. Comput. 8(5): 839-846 (2016) - [c12]Youxia Cao, Bo Jiang, Zhuqiang Chen, Jin Tang, Bin Luo:
Low-Rank Image Set Representation and Classification. BICS 2016: 321-330 - [c11]Bo Jiang, Chris H. Q. Ding, Bin Luo:
Robust Out-of-Sample Data Recovery. IJCAI 2016: 1634-1639 - 2015
- [j7]Haifeng Zhao, Bo Jiang, Jin Tang, Bin Luo:
Image matching using a local distribution based outlier detection technique. Neurocomputing 148: 611-618 (2015) - [j6]Jin Tang, Bo Jiang, Bin Luo, Chin-Chen Chang:
An Outlier Detection Method for Feature Point Matching Problem. J. Inf. Hiding Multim. Signal Process. 6(4): 728-739 (2015) - [c10]Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo:
A Local Sparse Model for Matching Problem. AAAI 2015: 3790-3796 - [c9]Zhuqiang Chen, Bo Jiang, Jin Tang, Bin Luo:
Image set representation and classification with covariate-relation graph. ACPR 2015: 750-754 - [c8]Bo Jiang, Jin Tang, Bin Luo:
Attributed Relational Graph Matching with Sparse Relaxation and Bistochastic Normalization. GbRPR 2015: 218-227 - [c7]Baoliang Zhou, Aihua Zheng, Bo Jiang, Chenglong Li, Jin Tang:
Person Re-identification with Density-Distance Unsupervised Salience Learning. ICIG (3) 2015: 55-67 - [c6]Ting-Ting Li, Bo Jiang, Zhengzheng Tu, Bin Luo, Jin Tang:
Image Matching Using Mutual k-Nearest Neighbor Graph. ICYCSEE 2015: 276-283 - 2014
- [j5]Bo Jiang, Haifeng Zhao, Jin Tang, Bin Luo:
A sparse nonnegative matrix factorization technique for graph matching problems. Pattern Recognit. 47(2): 736-747 (2014) - [j4]Bo Jiang, Jin Tang, Bin Luo, Liang Lin:
Robust Feature Point Matching With Sparse Model. IEEE Trans. Image Process. 23(12): 5175-5186 (2014) - [c5]Rozniza Ali, Bo Jiang, Mustafa Man, Amir Hussain, Bin Luo:
Classification of Fish Ectoparasite Genus Gyrodactylus SEM Images Using ASM and Complex Network Model. ICONIP (3) 2014: 103-110 - [c4]Bo Jiang, Chris H. Q. Ding, Bin Luo:
Covariate-Correlated Lasso for Feature Selection. ECML/PKDD (1) 2014: 595-606 - 2013
- [j3]Jin Tang, Bo Jiang, Chin-Chen Chang, Bin Luo:
Corrigendum to "Graph structure analysis based on complex network" [Digital Signal Processing 22 (5) (2012) 713-725]. Digit. Signal Process. 23(4): 1332 (2013) - [c3]Bo Jiang, Chris H. Q. Ding, Bin Luo, Jin Tang:
Graph-Laplacian PCA: Closed-Form Solution and Robustness. CVPR 2013: 3492-3498 - [c2]Bo Jiang, Jin Tang, Bin Luo:
Graph Matching with Nonnegative Sparse Model. GbRPR 2013: 41-50 - 2012
- [j2]Jin Tang, Bo Jiang, Chin-Chen Chang, Bin Luo:
Graph structure analysis based on complex network. Digit. Signal Process. 22(5): 713-725 (2012) - [j1]Jin Tang, Bo Jiang, Aihua Zheng, Bin Luo:
Graph matching based on spectral embedding with missing value. Pattern Recognit. 45(10): 3768-3779 (2012) - 2011
- [c1]Jin Tang, Bo Jiang, Bin Luo:
Graph Matching Based on Dot Product Representation of Graphs. GbRPR 2011: 175-184
Coauthor Index
Chris Ding
aka: Chris H. Q. Ding
aka: Chris H. Q. Ding
[j70] [j68] [j67] [j66] [j63] [j60] [j58] [i59] [i57] [i49] [i41] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j44] [j43] [i35] [i31] [i30] [j39] [j37] [j36] [j34] [j33] [j32] [c42] [i27] [i26] [i23] [j31] [j30] [j29] [j28] [j27] [c38] [c37] [i19] [j26] [j25] [j23] [j22] [j19] [j17] [c34] [c33] [c32] [c31] [c30] [c29] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j16] [j14] [c28] [c27] [c26] [c25] [c24] [c23] [i7] [j12] [j10] [j9] [c21] [c19] [c18] [c17] [c14] [c13] [i3] [j8] [c12] [c11] [j7] [j6] [c10] [c9] [c8] [c6] [j5] [j4] [c5] [c4] [j3] [c3] [c2] [j2] [j1] [c1]
[j69] [j68] [i63] [i61] [j66] [j64] [j63] [j61] [j59] [j57] [c47] [c46] [i60] [i59] [i57] [i54] [i53] [i50] [i49] [i43] [i42] [i41] [j55] [j54] [j51] [j50] [j46] [j43] [c44] [i37] [i36] [i34] [i33] [i29] [j40] [j38] [j37] [j35] [j34] [j32] [c43] [j29] [j28] [j27] [c37] [j25] [j22] [j21] [j20] [j19] [j18] [j17] [c35] [c34] [c33] [c30] [c29] [i16] [i15] [i13] [i12] [i11] [i10] [i9] [i8] [j15] [j13] [c26] [c24] [c23] [c22] [i7] [i5] [i4] [j12] [j11] [j10] [j9] [c21] [c20] [c19] [c17] [c14] [c13] [j8] [c12] [j7] [j6] [c10] [c9] [c8] [c7] [c6] [j5] [j4] [j3] [c3] [c2] [j2] [j1] [c1]
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