Associate Professor (副教授) School of Computer Science and Technology, Anhui University, Hefei 230601, China Email: wangxiaocvpr@foxmail.com; xiaowang@ahu.edu.cn [Google Scholar] [GitHub] [Zhihu] [DBLP] [ORCID] [Blog] [Weibo] [YouTube] [Event-AHU] [安徽大学-计算机学院官网-个人简介] [安徽大学-计算机学院官网]

Biography

Xiao Wang (Member, IEEE) received the B.S. degree from West Anhui University, Luan, China, in 2013, and the Ph.D. degree in computer science from [Anhui University], Hefei, China, in 2019. In his PhD career, he was supervised by Professor Jin Tang (汤进教授) and Bin Luo (罗斌教授) (Lab: [Multi-Modal Intelligent Computing Group]). From 2015 and 2016, he was a visiting student with the School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China, and supervised by Professor [Liang Lin (林倞教授)]. He visited UBTECH Sydney Artificial Intelligence Centre, the Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia, in 2019, and supervised by Professor [Dacheng Tao (陶大程教授)]. He finished the Postdoctoral Research (from April 2020 to April 2022) with [Pengcheng Laboratory] (Shenzhen, China) and cooperate with Professor [Feng Wu (吴枫教授)], [Yonghong Tian (田永鸿教授)], and [Yaowei Wang (王耀威教授)]. Currently, he is working at the [School of Computer Science and Technology] of Anhui University, Hefei 230601, China, as an Associate Professor.

His current research interests are mainly computer vision, event-based vision, machine learning, and pattern recognition. Dr. Wang serves as a Reviewer for a number of journals and conferences, such as IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE TRANSACTIONS ON IMAGE PROCESSING, International Journal of Computer Vision, Computer Vision and Image Understanding, CVPR, ICCV, ECCV, AAAI, ACCV, ACM-MM, and WACV. For more information, see: https://wangxiao5791509.github.io/.

欢迎对科研感兴趣，编程能力强，基础扎实，善于思考和钻研，认真负责的学生报考本人研究生；欢迎学有余力的本科生参与科研项目实践；有意者请随时与我联系!

Research Topic

• Computer Vision and Pattern Recognition: Object Detection and Tracking, Segmentation, Attribute Recognition, etc.

• Multi-modal and Multi-media: Vision-Language, Vision-Thermal (Infrared), Vision-Depth, Vision-Event, etc.

• Event-based Vision: Detection and Tracking, Action Recognition, etc.

• AI4Science: AI+Medical Image Analysis, AI+Controlled Nuclear Fusion, etc.

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 [PDF]

• 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 (IEEE TPAMI), 2024 [PDF]

• 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:2404.09516, 2024 [arXiv] [PDF] [Paper List] [专知公众号]

• Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline
  Xiao Wang, Ju Huang, Shiao Wang, Chuanming Tang, Bo Jiang, Yonghong Tian, Jin Tang, Bin Luo
  arXiv preprint arXiv:2403.05839 (2024). [arXiv] [Github] [Youtube]

• 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
  CVPR-2024, arXiv 2309.14611 [arXiv] [Github] [Youtube] [AHU-CS-News]

• Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition
  Haoxiang Yang, Chengguo Yuan, Yabin Zhu, Lan Chen, Xiao Wang*, Jin Tang
  arXiv:2401.11123 [Paper] [GitHub]

• CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras
  Yabin Zhu, Xiao Wang*, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang
  arXiv:2401.02826 [Paper] [GitHub] [Dataset Download]

• Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
  Xiao Wang, Jiandong Jin, Chenglong Li, Jin Tang, Cheng Zhang, Wei Wang
  arXiv:2312.10692 [Paper] [Code]

• Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
  Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang
  arXiv:2312.11128 [Paper] [Code]

• Finding Visual Saliency in Continuous Spike Stream
  Lin Zhu, Xianzhang Chen, Xiao Wang, Hua Huang
  AAAI-2024, arXiv:2403.06233 [Paper] [GitHub] [AAAI-Paper] [Video]

• Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception
  Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang
  AAAI-2024 [arXiv] [Github] [AHU-News] [Photos From AAAI-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
  AAAI-2024, arXiv pre-print, arXiv:2211.09648 [arXiv] [AAAI2024] [GitHub] [DemoVideo] [Project] [Photos From AAAI-2024]

• SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm
  Jiandong Jin, Xiao Wang*, Chenglong Li, Lili Huang, Jin Tang
  arXiv:2312.01640, 2023 [arXiv] [Github]

• Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models
  Dong Li, Jiandong Jin, Yuhao Zhang, Yanlin Zhong, Yaoyang Wu, Lan Chen*, Xiao Wang*, Bin Luo
  arXiv:2311.18592, 2023 [arXiv] [Github]

• 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 (TGRS) 2023 [arXiv] [IEEE] [Github]

• Unified and Dynamic Graph for Temporal Character Grouping in Long Videos
  Xiujun Shu, Wei Wen, Liangsheng Xu, Mingbao Lin, Ruizhi Qiao, Taian Guo, Hanjun Li, Bei Gan, Xiao Wang, Xin Sun
  arXiv 2308.14105 [arXiv]

• Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
  Chengguo Yuan, Yu Jin, Zongzhen Wu, Fanting Wei, Yangzirui Wang, Lan Chen, and Xiao Wang
  PRCV-2013 [arXiv] [Github]

• SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
  Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian
  arXiv:2308.04369, 2023 [arXiv] [Github]

• Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition
  Bo Jiang, Chengguo Yuan, Xiao Wang*, Zhimin Bao, Lin Zhu, Yonghong Tian, Jin Tang
  arXiv:2306.05239, 2023 [arXiv] [Github]

• Deep Triply Attention Network for RGBT Tracking
  Rui Yang, Xiao Wang, Yabin Zhu, Jin Tang
  Cognitive Computation 2023 [Paper]

• 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 [arXiv] [IEEE]

• Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition
  Jun Zhu†, Jiandong Jin†, Zihan Yang, Xiaohao Wu, Xiao Wang* († denotes equal contribution)
  CVPR-2023 Workshop@NFVLR (New Frontiers in Visual Language Reasoning: Compositionality, Prompts and Causality) [arXiv] [CVF] [Github]

• RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
  Yabin Zhu, Chenglong Li, Xiao Wang, Jin Tang, and Zhixiang Huang
  arXiv:2303.14778, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2024 [arXiv] [IEEE]

• Transformer Vision-Language Tracking via Proxy Token Guided Cross-Modal Fusion
  Haojie Zhao, Xiao Wang, Dong Wang, Huchuan Lu, and Xiang Ruan
  Pattern Recognition Letters (PRL), Elsevier, 2023 [arXiv] [PRL] [GitHub]

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

• Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
  Chuanming Tang, Xiao Wang*, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang*, Yaowei Wang, Yonghong Tian
  arXiv pre-print, arXiv:2211.11010 [arXiv] [GitHub] [DemoVideo] [Project]

• 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 (IEEE TCSVT), 2023 [arXiv] [IEEE] [GitHub]

• Learning Spatial-Frequency Transformer for Visual Object Tracking
  Chuanming Tang, Xiao Wang*, Yuanchao Bai, Zhe Wu, Jianlin Zhang, Yongmei Huang
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 [arXiv] [IEEE] [Github]

• Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
  Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, Wen Gao
  Machine Intelligence Research (MIR), 2022 [arXiv] [MIR] [极市平台公众号] [Machine Intelligence Research (Youtube)] [ MIR编辑部@机器智能研究MIR] [Github]

• See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval
  Xiujun Shu, Wei Wen, Haoqian Wu, Keyu Chen, Yiran Song, Ruizhi Qiao, Bo Ren, Xiao Wang*
  The 2nd Workshop on Real-World Surveillance: Applications and Challenges, ECCVW-2022 [arXiv] [ECCV] [YouTube] [Code]

• Criteria Comparative Learning for Real-scene Image Super-Resolution
  Yukai Shi, Hao Li, Sen Zhang, Zhijing Yang, Xiao Wang
  IEEE Transactions on Circuits and Systems for Video Technology, 2022 [arXiv] [IEEE] [Code] [Dataset]

• Prompt-based Learning for Unpaired Image Captioning
  Peipei Zhu, Xiao Wang, Lin Zhu, Zhenglong Sun, Weishi Zheng, Yaowei Wang, Changwen Chen
  IEEE Transactions on Multimedia (TMM), 2022. [arXiv] [IEEE]

• MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
  Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
  IEEE Transactions on Multimedia (TMM), 2022. [arXiv] [IEEE] [Code]

• Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
  Peipei Zhu, Xiao Wang, Yong Luo, Zhenglong Sun, Wei-Shi Zheng, Yaowei Wang, Changwen Chen
  IEEE Transactions on Multimedia (TMM), 2022. [arXiv] [IEEE]

• Tiny Object Tracking: A Large-scale Dataset and A Baseline
  Yabin Zhu, Chenglong Li, Yao Liu, Xiao Wang, Jin Tang, Bin Luo, Zhixiang Huang
  IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023. [arXiv] [IEEE] [Dataset and Evaluation Toolkit]

• Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
  Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian
  CVPR, 2022. [arXiv] [Code]

• MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention
  Xixi Wang, Xiao Wang, Bo Jiang*, Jin Tang and Bin Luo
  in peer review, 2021. [arXiv] [GitHub]

• Retinomorphic Object Detection in Asynchronous Visual Streams
  Jianing Li+, Xiao Wang+, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian (+ denotes equal contribution)
  AAAI, 2022, Oral representation. [PDF] [Poster] [Project Page] [Dataset]

• VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
  Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu
  IEEE Transactions on Cybernetics, 2023. [arXiv] [IEEE] [Project] [Demo] [Video Tutorial] [Dataset and Evaluation Toolkit] [Source Code]

• Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
  Xiao Wang, Zhe Chen, Bo Jiang, Jin Tang, Bin Luo, Dacheng Tao
  IEEE Transactions on Image Processing (TIP), 2022. [arXiv] [IEEE] [Project] [Video]

• RGBT Tracking via Cross-modality Message Passing
  Rui Yang, Xiao Wang, Chenglong Li, Jinmin Hu, Jin Tang
  Neurocomputing, 2021. [PDF]

• Learn to Match: Automatic Matching Network Design for Visual Tracking
  Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu
  ICCV, 2021. [arXiv] [ICCV] [Code] [Video] [Poster]

• NeuSpike-Net: High Speed Image Reconstruction via Bio-inspired Neuromorphic Cameras
  Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian
  ICCV, 2021. [PDF] [Project]

• Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
  Xiujun Shu, Ge Li, Xiao Wang, Weijian Ruan, Qi Tian
  IEEE Signal Processing Letters, 2021. [IEEE] [arXiv] [Code]

• Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
  Xiujun Shu+, Xiao Wang+, Shiliang Zhang, Xianghao Zhang, Yuanqi Chen, Ge Li, Qi Tian (+ denotes equal contribution)
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. [IEEE] [arXiv] [Project] [Code]

• 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 (+ denotes equal contribution)
  CVPR, 2021. [arXiv] [CVF] [Project] [EvaluationToolkit] [Demo] [Tutorial]

• Tracking by Joint Local and Global Search: A Target-aware Attention based Approach
  Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, and Feng Wu
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [arXiv] [IEEE] [Code] [Tutorial]

• STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identification
  Bo Jiang, Sheng Wang, Xiao Wang*, Aihua Zheng (* denotes corresponding author)
  arxiv preprint arXiv:2007.03584, 2021. [arXiv] [Code]

• cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks
  Bo Jiang, Zitai Zhou, Xiao Wang*, Jin Tang, Bin Luo (* denotes corresponding author)
  IEEE Transactions on Multimedia (TMM), 2020. [arXiv] [IEEE] [Code] [Project]

• Dynamic Attention-guided Multi-Trajectory Analysis for Single Object Tracking
  Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. [arXiv] [IEEE] [Code] [Project]

• Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
  Xiao Wang, Chenglong Li, Rui Yang, Tianzhu Zhang, Jin Tang, Bin Luo
  arxiv, preprint, arXiv:1811.10014, 2018. [arXiv] [Project]

• Quality–aware dual–modal saliency detection via deep reinforcement learning
  Xiao Wang, Tao Sun, Rui Yang, Chenglong Li, Bin Luo, Jin Tang
  Signal Processing and Image Communication, 2019. [PDF]

• Learning Target-aware Attention for Robust Tracking with Conditional Adversarial Network
  Xiao Wang, Tao Sun, Rui Yang, Bin Luo
  30TH British Machine Vision Conference (BMVC), 2019. [PDF] [Supplementary] [Project]

• Pedestrian Attribute Recognition: A Survey
  Xiao Wang, Shaofei Zheng, Rui Yang, Aihua Zheng, Zhe Chen, Bin Luo, Jin Tang
  Pattern Recognition, 2021. [arXiv] [Pattern Recognition] [Project] [Github]

• Learning Target-oriented Dual Attention for Robust RGB-T Tracking
  Rui Yang, Yabin Zhu, Xiao Wang, Chenglong Li, Jin Tang
  IEEE International Conference on Image Processing (ICIP), 2019. [arXiv]

• Multi-modal foreground detection via inter- and intra-modality-consistent low-rank separation
  Aihua Zheng, Naipeng Ye, Chenglong Li, Xiao Wang, Jin Tang
  Neurocomputing, 2020. [PDF]

• Dense Feature Aggregation and Pruning for RGBT Tracking
  Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang
  Proceedings of the 27th ACM International Conference on Multimedia (ACM MM), 2019 [arXiv] [ACM MM]

• SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation
  Xiao Wang, Chenglong Li, Bin Luo, Jin Tang
  CVPR, 2018 [PDF] [Project]

• Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection
  Chenglong Li+, Xiao Wang+, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin (+ denotes equal contribution)
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017 [PDF] [Project]

• Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning
  Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017 [PDF]

• Grayscale-Thermal Object Tracking via Multitask Laplacian Sparse Representation
  Li, Chenglong and Sun, Xiang and Xiao Wang and Zhang, Lei and Tang, Jin
  IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017 [PDF]

Class Schedule

• 2022-2023 秋学期 （本）MATLAB 编程基础
  

• 2022-2023 秋学期 （本）数据挖掘与知识发现
  

• 2022-2023 春学期 （本）机器学习
  

• 2022-2023 春学期 （本）计算机伦理
  

• 2023-2024 秋学期 （本）深度学习（理论及实验课） [YouTube]
  

• 2023-2024 秋学期 （本）计算机伦理
  

• 2024-2025 春学期 （本）计算机导论
  

• 2024-2025 春学期 （本）机器学习（理论及实验课）
  

• 2024-2025 春学期 （研）模式识别
  

Video Tutorial

• 浅谈科研论文写作 (2023-01-09) [YouTube]
  

Awards

• 2014-2015 National Academic Scholarships
  

• 2015-2016 National Academic Scholarships
  

• 2016-2017 National Academic Scholarships
  

• 2017-2018 National Academic Scholarships
  

• 2018-2019 National Academic Scholarships
  

• 2018-2019 GuoYuan Scholarships
  

• 2019 安徽省校级优秀毕业生 AHU-University graduates
  

• 2019 安徽省省级优秀毕业生 AnHui Outstanding Graduates
  

• 2022 安徽省合肥市D类高层次人才(市级领军人才)
  

Academic Activities

• 2022.05.22 IEEE Member (Member number: 96976176)

• 2022.05.30 CSIG Member (Member number: E654403548M)

Funds and Projects

• Postdoctoral Innovative Talent Support Program (BX20200174, 2021-2022)
  

• China Postdoctoral Science Foundation Funded Project (2020M682828, 2021-2022)
  

• National Natural Science Foundation of China (编号：62102205, 名称：面向神经形态视觉的目标跟踪关键技术研究, 2022-2024)
  

• 变电站智能巡检数据标注及检测模型研究 (2023.09-2025.09)