World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9644
World Ranking
6792
National Ranking
909

Overview

Jun Guo is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology, and Control and Systems Engineering.

Their research work covers a broad range of topics such as:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Topic Modeling

Jun Guo has multiple publications in high-profile venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Pattern Recognition
  • Neurocomputing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Notable recent papers authored by Jun Guo cover various aspects of image processing, visual classification, and medical studies. These include:

  • "The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification" (2020), published in IEEE Transactions on Image Processing
  • "Patients with COVID-19 in 19 ICUs in Wuhan, China: a cross-sectional study" (2020), published in Critical Care
  • "A Survey on Long-Tailed Visual Recognition" (2022), published in International Journal of Computer Vision
  • "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Cluster-Guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification" (2022), published in IEEE Transactions on Image Processing

Collaboration is a notable feature in Jun Guo's academic career. Frequent co-authors include:

  • Zhanyu Ma (with 36 co-authored works)
  • Dongliang Chang (17 co-authored works)
  • Jiyang Xie (13 co-authored works)
  • Yi-Zhe Song (13 co-authored works)
  • Xiaoxu Li (9 co-authored works)

Best Publications

  • Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary

    Weihong Deng;Jiani Hu;Jun Guo

  • Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics

    Jian Yang;D. Zhang;Jing-yu Yang;B. Niu

  • Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern

    Xianbiao Qi;Rong Xiao;Chun-Guang Li;Yu Qiao

  • A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks

    Qie Sun;Hailong Li;Zhanyu Ma;Chao Wang

  • The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

    Dongliang Chang;Yifeng Ding;Jiyang Xie;Ayan Kumar Bhunia

  • Pairwise rotation invariant co-occurrence local binary pattern

    Xianbiao Qi;Rong Xiao;Jun Guo;Lei Zhang

  • Mobile Edge Computing Empowered Energy Efficient Task Offloading in 5G

    Lichao Yang;Heli Zhang;Ming Li;Jun Guo

  • On the Outage Probability of Device-to-Device-Communication-Enabled Multichannel Cellular Networks: An RSS-Threshold-Based Perspective

    Jiajia Liu;Hiroki Nishiyama;Nei Kato;Jun Guo

  • In Defense of Sparsity Based Face Recognition

    Weihong Deng;Jiani Hu;Jun Guo

  • Text extraction from natural scene image: A survey

    Honggang Zhang;Kaili Zhao;Yi-Zhe Song;Jun Guo

  • Cross-Domain Recommendation via Cluster-Level Latent Factor Model

    Sheng Gao;Hao Luo;Da Chen;Shantao Li

  • Self-Supervised Convolutional Subspace Clustering Network

    Junjian Zhang;Chun-Guang Li;Chong You;Xianbiao Qi

  • Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation

    Weihong Deng;Jiani Hu;Jun Guo

  • Variational Bayesian Matrix Factorization for Bounded Support Data

    Zhanyu Ma;Andrew E. Teschendorff;Arne Leijon;Yuanyuan Qiao

  • SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

    Peng Xu;Yongye Huang;Tongtong Yuan;Kaiyue Pang

  • Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs

    Zhanyu Ma;Dongliang Chang;Jiyang Xie;Yifeng Ding

  • Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach

    Weihong Deng;Jiani Hu;Jun Guo;Weidong Cai

  • Transform-Invariant PCA: A Unified Approach to Fully Automatic FaceAlignment, Representation, and Recognition

    Weihong Deng;Jiani Hu;Jiwen Lu;Jun Guo

  • Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling

    Zhanyu Ma;Yuping Lai;W. Bastiaan Kleijn;Yi-Zhe Song

  • Duplex Contextual Relation Network for Polyp Segmentation.

    Zijin Yin;Kongming Liang;Zhanyu Ma;Jun Guo

  • HCL2000 - A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition

    Honggang Zhang;Jun Guo;Guang Chen;Chunguang Li

Frequent Co-Authors

Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Weihong Deng
Weihong Deng Beijing University of Posts and Telecommunications
Chunguang Li
Chunguang Li Zhejiang University
Yi-Zhe Song
Yi-Zhe Song University of Surrey
Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Jing-Hao Xue
Jing-Hao Xue University College London
Zhouchen Lin
Zhouchen Lin Peking University
Patrick Gallinari
Patrick Gallinari Sorbonne University
Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington
Hailong Li
Hailong Li Mälardalen University

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