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D-Index & Metrics

Computer Science

D-Index
44
Citations
7280
World Ranking
7626
National Ranking
460

Overview

Jing-Hao Xue is affiliated with University College London in the United Kingdom and specializes in computer science research. Their work mainly focuses on subfields such as computer vision and pattern recognition, artificial intelligence, media technology, signal processing, and biomedical engineering.

The scientist has published extensively in the area of domain adaptation and few-shot learning, with particular attention to advanced neural network applications. Their research also covers face and expression recognition, multimodal machine learning applications, advanced image and video retrieval techniques, machine learning, and data classification.

Frequent publication venues for Jing-Hao Xue include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Pattern Recognition
  • Neurocomputing
  • IEEE Transactions on Image Processing

Recent papers authored or coauthored by the scientist are:

  • "BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification" (2020, IEEE Transactions on Image Processing)
  • "A concise review of recent few-shot meta-learning methods" (2020, Neurocomputing)
  • "Adjusting the imbalance ratio by the dimensionality of imbalanced data" (2020, Pattern Recognition Letters)
  • "Non-Local Aggregation for RGB-D Semantic Segmentation" (2021, IEEE Signal Processing Letters)
  • "Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification" (2020, IEEE Transactions on Circuits and Systems for Video Technology)

Jing-Hao Xue collaborates frequently with several researchers, including:

  • Zhanyu Ma
  • Yan Yan
  • Hanzi Wang
  • Xiaoxu Li
  • Qingmin Liao

The scientist's work is primarily concentrated around computer science with a total of 258 publications. The specific subfields highlight a broad expertise ranging from theoretical and methodological advances to applied machine learning disciplines.

Best Publications

  • Deep Learning for Single Image Super-Resolution: A Brief Review

    Wenming Yang;Xuechen Zhang;Yapeng Tian;Wei Wang

  • Assimilation of remote sensing into crop growth models: Current status and perspectives

    Jianxi Huang;Jose L. Gómez-Dans;Hai Huang;Hongyuan Ma

  • Deep Learning for Single Image Super-Resolution: A Brief Review

    Wenming Yang;Xuechen Zhang;Yapeng Tian;Wei Wang

  • TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

    Weihao Xia;Yujiu Yang;Jing-Hao Xue;Baoyuan Wu

  • Brain tissue classification of magnetic resonance images using partial volume modeling

    S. Ruan;C. Jaggi;J. Xue;J. Fadili

  • BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification

    Xiaoxu Li;Jijie Wu;Zhuo Sun;Zhanyu Ma

  • FV-GAN: Finger Vein Representation Using Generative Adversarial Networks

    Wenming Yang;Changqing Hui;Zhiquan Chen;Jing-Hao Xue

  • Comment on On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes

    Jing-Hao Xue;D. Michael Titterington

  • Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition

    Jingxuan Hou;Guijin Wang;Xinghao Chen;Jing-Hao Xue

  • A concise review of recent few-shot meta-learning methods

    Xiaoxu Li;Zhuo Sun;Jing-Hao Xue;Zhanyu Ma

  • Decorrelation of Neutral Vector Variables: Theory and Applications

    Zhanyu Ma;Jing-Hao Xue;Arne Leijon;Zheng-Hua Tan

  • $t$ -Tests, $F$ -Tests and Otsu's Methods for Image Thresholding

    Jing-Hao Xue;D. M. Titterington

  • An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images

    Jing-Hao Xue;Aleksandra Pizurica;Wilfried Philips;Etienne Kerre

  • SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment

    Wen Sun;Qingmin Liao;Jing-Hao Xue;Fei Zhou

  • Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?

    Jing-Hao Xue;Peter Hall

  • Adjusting the imbalance ratio by the dimensionality of imbalanced data

    Rui Zhu;Yiwen Guo;Jing-Hao Xue

  • Do unbalanced data have a negative effect on LDA

    Jing-Hao Xue;D. Michael Titterington

  • Non-Local Aggregation for RGB-D Semantic Segmentation

    Guodong Zhang;Jing-Hao Xue;Pengwei Xie;Sifan Yang

  • Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding

    Jing-Hao Xue;Yu-Jin Zhang

  • Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification

    Xiaokang Zhang;Yan Yan;Jing-Hao Xue;Yang Hua

  • A novel hierarchical framework for human action recognition

    Hongzhao Chen;Guijin Wang;Jing-Hao Xue;Li He

  • Efficient Semantic Segmentation via Self-Attention and Self-Distillation

    Unknown

  • Median-based image thresholding

    Jing-Hao Xue;D. Michael Titterington

Frequent Co-Authors

Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Hanzi Wang
Hanzi Wang Xiamen University
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Su Ruan
Su Ruan University of Rouen
Fei Zhou
Fei Zhou Nanjing University of Aeronautics and Astronautics
Weidong Sun
Weidong Sun Chinese Academy of Sciences
Yu-Jin Zhang
Yu-Jin Zhang Tsinghua University
D. M. Titterington
D. M. Titterington University of Glasgow
Lefei Zhang
Lefei Zhang Wuhan University

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