Professor School of Computer Science and Technology Anhui University Hefei City, Anhui Province, China Email: jiangbo@ahu.edu.cn; zeyiabc@163.com

Biography

I received the B.S. degrees in mathematics and applied mathematics and the M.Eng. and Ph.D. degree in computer science from[Anhui University] of China in 2009, 2012, and 2015, respectively. I am currently a professor in [School of Computer Science and Technology] at [Anhui University].

My current research interests include image matching, graph data representation and learning and few-shot learning. I have published more than 100 papers including 50 papers in top conference and journal, such as IEEE T-PAMI, IJCV, IEEE T-MM, CVPR, NeurIPS and ACM-MM. I gained some research projects of NSFC and Natural Science Foundation of Anhui Province. I also received the rising star award of ACM Hefei.

安徽大学教授、硕士/博士生导师，安徽大学计算机学院副院长，安徽省计算机学会理事，安徽省计算机学会青工委副主任。从事结构模式识别和计算机视觉、医学影像分析以及AI4Science等方向的研究。 入选安徽省优青人才项目，获安徽省计算机学会青年科学家奖。以第一/通讯作者在中科院一区、IEEE会刊和CCF-A类国际期刊会议上发表论文50篇（含第一/通讯作者发表人工智能顶级期刊T-PAMI, IJCV论文8篇）。 单篇论文谷歌学术最高引用350次。主持国家自然科学基金面上项目、安徽省重点研发计划项目、安徽省教育厅协同创新项目以及横向开发课题等。获安徽省计算机学会自然科学一等奖、ACM合肥分会新星奖等。

Research Topic

• Graph Representation Learning: Graph neural network, Graph embedding, Semi-supervised learning

• Visual Representation: Few-shot learning, Graph based visual representation

• Feature Matching: Graph matching, Image matching

News

• [07/2024] The paper "Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification" has been accepted by TIP 2024 !

• [07/2024] The paper "Learning Dynamic Batch-Graph Representation for Deep Representation Learning" has been accepted by IJCV 2024 !

• [06/2024] The paper "MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction" has been accepted by MICCAI 2024 !

• [04/2024] Our large survey "State Space Model for New-Generation Network Alternative to Transformers: A Survey" has been online on arXiv !

• [04/2024] The paper "Learning Graph Attentions via Replicator Dynamics" has been accepted by TPAMI 2024 !

• [03/2024] The paper "MutualFormer: Multi-Modal Representation Learning via Cross-Diffusion Attention" has been accepted by IJCV 2024 !

• [02/2024] The paper "Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline" has been accepted by CVPR 2024 !

• [12/2023] The paper "HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors" has been accepted by AAAI 2024 !

Selected Publications

• Learning Dynamic Batch-Graph Representation for Deep Representation Learning
  Xixi Wang, Bo Jiang*,Xiao Wang, Bin Luo
  International Journal of Computer Vision (IJCV) 2024

• State Space Model for New-Generation Network Alternative to Transformers: A Survey
  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
  arXiv preprint arXiv:2404.09516 2024

• Learning Graph Attentions via Replicator Dynamics
  Bo Jiang, Ziyan Zhang, Sheng Ge, Beibei Wang, Xiao Wang, Jin Tang*
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

• MutualFormer: Multi-modal Representation Learning via Cross-Diffusion Attention
  Xixi Wang, Xiao Wang, Bo Jiang*, Jin Tang, Bin Luo
  International Journal of Computer Vision (IJCV) 2024

• Robust Audio-Visual Contrastive Learning for Proposal-based Self-supervised Sound Source Localization in Videos
  Hanyu Xuan, Zhiliang Wu, Jian Yang, Bo Jiang*, Lei Luo*, Xavier Alameda-Pineda, Yan Yan
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

• Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation
  Beibei Wang, Bo Jiang*, Jin Tang, Bin Luo
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

• Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso
  Bo Jiang, Beibei Wang, Si Chen, Jin Tang*, Bin Luo
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

• Gecns: Graph elastic convolutional networks for data representation
  Bo Jiang, Beibei Wang, Jin Tang, Bin Luo
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021

• Efficient feature matching via nonnegative orthogonal relaxation
  Bo Jiang, Jin Tang, Bin Luo
  International Journal of Computer Vision (IJCV) 2019

• Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
  Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang*, Bo Jiang*, Yaowei Wang, Yonghong Tian
  IEEE Transactions on Intelligent Transportation Systems (TITS) 2024

• Learning Knowledge Enhanced Text-Image Feature Selection Network for Chest X-Ray Image Classification
  Xinyue Gao, Xixi Wang, Bo Jiang*, Xiao Wang, Jin Tang, Chuanfu Li
  Machine Intelligence Research 2024

• Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification
  Jiahui Wang, Qin Xu*, Bo Jiang*, Bin Luo, Jinhui Tang
  IEEE Transactions on Image Processing (TIP) 2024

• Incomplete Graph Learning via Partial Graph Convolutional Network
  Ziyan Zhang, Bo Jiang*, Jin Tang, Jinhui Tang, Bin Luo
  IEEE Transactions on Artificial Intelligence 2024

• Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
  Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang*, Yonghong Tian, Jin Tang
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024

• A Unified Graph Selective Prompt Learning for Graph Neural Networks
  Bo Jiang, Hao Wu, Ziyan Zhang, Beibei Wang, Jin Tang
  arXiv preprint arXiv:2406.10498, 2024

• Which Model to Transfer? A Survey on Transferability Estimation
  Yuhe Ding, Bo Jiang*, Aijing Yu, Aihua Zheng, Jian Liang*
  arXiv preprint arXiv:2402.15231 2024

• HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
  Xiao Wang, Zongzhen Wu, Bo Jiang*, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian
  Proceedings of the AAAI Conference on Artificial Intelligence 2024

• ADRNet: Affine and Deformable Registration Networks for Multimodal Remote Sensing Images
  Yun Xiao, Chunlei Zhang, Yuan Chen, Bo Jiang*, Jin Tang
  IEEE Transactions on Geoscience and Remote Sensing, 2024

• VcT: Visual change Transformer for Remote Sensing Image Change Detection
  Bo Jiang, Zitian Wang, Xixi Wang, Ziyan Zhang, Lan Chen, Xiao Wang, Bin Luo
  IEEE Transactions on Geoscience and Remote Sensing, 2023

• AS³ITransUNet: Spatial-Spectral Interactive Transformer U-Net with Alternating Sampling for Hyperspectral Image Super-Resolution
  Qin Xu, Shiji Liu, Bo Jiang*, Jin Tang
  IEEE Transactions on Geoscience and Remote Sensing, 2023

• FL-GNNs: Robust Network Representation via Feature Learning guided Graph Neural Networks
  Beibei Wang, Bo Jiang*, Chris Ding
  IEEE Transactions on Network Science and Engineering, 2023

• GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks
  Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu and Jin Tang
  IEEE Transactions on Neural Networks and Learning Systems, 2023

• MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
  Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He
  IEEE Transactions on Circuits and Systems for Video Technology, 2023

• Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
  Xixi Wang, Xiao Wang, Bo Jiang*, Bin Luo
  IEEE Transactions on Circuits and Systems for Video Technology, 2023

• DropAGG: Robust Graph Neural Networks via Drop Aggregation
  Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Bin Luo
  Neural Networks 2023

• AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
  Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie
  arXiv preprint arXiv:2305.07521 2023

• Data Representation via Attribute Selection-Propagation Neural Network
  Beibei Wang, Bo Jiang*
  IEEE Transactions on Signal and Information Processing over Networks 2023

• AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
  Bo Jiang, Shuxian Luo, Xiao Wang*, Chuanfu Li and Jin Tang
  IEEE Transactions on Multimedia (TMM) 2023

• Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
  Xixi Wang, Bo Jiang*, Xiao Wang, Jinhui Tang, Bin Luo
  IEEE Transactions on Multimedia (TMM) 2023

• Fine-Grained Visual Classification Via Internal Ensemble Learning Transformer
  Qin Xu, Jiahui Wang, Bo Jiang*, Bin Luo
  IEEE Transactions on Multimedia (TMM) 2023

• Sparse norm regularized attribute selection for graph neural networks
  Bo Jiang, Beibei Wang, Bin Luo
  Pattern Recognition 2023

• Spiking GATs: Learning Graph Attentions via Spiking Neural Network
  Beibei Wang, Bo Jiang*
  arXiv preprint arXiv:2209.13539 2022

• GLMNet: Graph learning-matching convolutional networks for feature matching
  Bo Jiang, Pengfei Sun, Jin Tang, Bin Luo
  Pattern Recognition 2022

• RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification
  Bo Jiang, Kangkang Zhao, Jin Tang
  IEEE Signal Processing Letters 2022

• MGLNN: Semi-supervised learning via multiple graph cooperative learning neural networks
  Bo Jiang, Si Chen, Beibei Wang, Bin Luo
  Neural Networks 2022

• Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search
  Xiao Wang , Zhe Chen, Bo Jiang, Jin Tang, Bin Luo
  IEEE Transactions on Image Processing 2022

• LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning
  Kangkang Zhao, Ziyan Zhang, Bo Jiang*, Jin Tang
  Neural Networks 2022

• Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark
  Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021

• Adversarial-metric learning for audio-visual cross-modal matching
  Aihua Zheng, Menglan Hu, Bo Jiang*, Yan Huang, Yan Yan, Bin Luo
  IEEE Transactions on Multimedia (TMM) 2021

• MGARL: Multiple graph adversarial regularized learning
  Ziyan Zhang, Bo Jiang*, Bin Luo
  IEEE International Conference on Multimedia and Expo (ICME) 2021

• Ph-gcn: Person retrieval with part-based hierarchical graph convolutional network
  Bo Jiang, Xixi Wang, Aihua Zheng, Jin Tang, Bin Luo
  IEEE Transactions on Multimedia 2020

• Gamnet: Robust feature matching via graph adversarial-matching network
  Bo Jiang, Pengfei Sun, Ziyan Zhang, Jin Tang, Bin Luo
  Proceedings of the 29th ACM International Conference on Multimedia 2021

• Gpens: Graph data learning with graph propagation-embedding networks
  Bo Jiang, Leiling Wang, Jin Tang, Bin Luo
  IEEE Transactions on Neural Networks and Learning Systems 2021

• Revisiting L2,1-Norm Robustness With Vector Outlier Regularization
  Bo Jiang, Chris Ding
  IEEE Transactions on Neural Networks and Learning Systems 2020

• CmSalGAN: RGB-D salient object detection with cross-view generative adversarial networks
  Bo Jiang, Zitai Zhou, Xiao Wang, Jin Tang, Bin Luo
  IEEE Transactions on Multimedia (TMM) 2020

• STGL: Spatial-temporal graph representation and learning for visual tracking
  Bo Jiang, Yuan Zhang, Bin Luo, Xiaochun Cao, Jin Tang
  IEEE Transactions on Multimedia (TMM) 2020

• Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification
  Aihua Zheng, Hongchao Li, Bo Jiang*, Wei-Shi Zheng, Bin Luo
  Pattern Recognition 2020

• Co-saliency detection via a general optimization model and adaptive graph learning
  Bo Jiang, Xingyue Jiang, Jin Tang, Bin Luo
  IEEE Transactions on Multimedia (TMM) 2020

• Data representation and learning with graph diffusion-embedding networks
  Bo Jiang, Doudou Lin, Jin Tang, Bin Luo
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019

• Semi-supervised learning with graph learning-convolutional networks
  Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo
  Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2019

• Robust visual tracking via laplacian regularized random walk ranking
  Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo, Chenglong Li
  Neurocomputing 2019

• Multiple graph convolutional networks for co-saliency detection
  Bo Jiang, Xingyue Jiang, Jin Tang, Bin Luo, Shilei Huang
  IEEE International Conference on Multimedia and Expo (ICME) 2019

• A unified multiple graph learning and convolutional network model for co-saliency estimation
  Bo Jiang, Xingyue Jiang, Ajian Zhou, Jin Tang, Bin Luo
  Proceedings of the 27th ACM international conference on multimedia 2019

• Feature matching with intra-group sparse model
  Bo Jiang, Jin Tang, Bin Luo
  IEEE Transactions on Multimedia (TMM) 2019

• Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition
  Bo Jiang, Chris Ding, Jin Tang, Bin Luo
  IEEE Transactions on Cybernetics 2019

• Lagrangian relaxation graph matching
  Bo Jiang, Jin Tang, Xiaochun Cao, Bin Luo
  Pattern Recognition 2017

• Nonnegative orthogonal graph matching
  Bo Jiang,Jin Tang, Chris Ding, Bin Luo
  Proceedings of the AAAI Conference on Artificial Intelligence 2017

• Graph matching via multiplicative update algorithm
  Bo Jiang,Jin Tang, Chris Ding, Yihong Gong, Bin Luo
  Advances in Neural Information Processing Systems (NeurIPS) 2017

• Groupwise registration of MR brain images containing tumors via spatially constrained low-rank based image recovery
  Zhenyu Tang, Yue Cui, Bo Jiang*
  Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017

• Binary constraint preserving graph matching
  Bo Jiang,Jin Tang, Chris Ding, Bin Luo
  Proceedings of the IEEE conference on computer vision and pattern recognition 2017

• Robust out-of-sample data recovery
  Bo Jiang, Chris Ding, Bin Luo
  International Joint Conference on Artificial Intelligence 2016

• A local sparse model for matching problem
  Bo Jiang,Jin Tang, Chris Ding, Bin Luo
  Proceedings of the AAAI Conference on Artificial Intelligence 2015

• Robust feature point matching with sparse model
  Bo Jiang,Jin Tang, Bin Luo, Liang Lin
  IEEE Transactions on Image Processing 2014

• A sparse nonnegative matrix factorization technique for graph matching problems
  Bo Jiang, HaiFeng Zhao, Jin Tang, Bin Luo
  Pattern Recognition 2014

• Graph-Laplacian PCA: Closed-form solution and robustness
  Bo Jiang, Chris Ding, Bin Luo, Jin Tang
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2013

Awards

• ACM合肥分会新星奖
  

• 安徽省计算机学会自然科学一等奖
  

• 安徽省计算机学会青年科学奖
  

Funds and Projects

• National Natural Science Foundation of China（国家自然科学基金面上项目）
  

• Natural Science Foundation of Anhui Province（安徽省优青项目）
  

• Anhui Provincial Key Research and Development Program（安徽省重点研发计划）
  

• University Synergy Innovation Program of Anhui Province（安徽省教育厅协同创新项目）