World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
95
Citations
36113
World Ranking
465
National Ranking
60

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Xinbo Gao is affiliated with Chongqing University of Posts and Telecommunications in China. Their research spans multiple areas within computer science and engineering, with a significant focus on computer vision and pattern recognition as well as artificial intelligence.

The scientist has an extensive record of scholarly publications, including papers on various topics such as video surveillance, advanced image processing, face recognition, and neural network applications. Their recent papers include:

  • Tensorized Bipartite Graph Learning for Multi-View Clustering, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Transfer Adaptation Learning: A Decade Survey, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • A CenterNet++ model for ship detection in SAR images, 2020, Pattern Recognition
  • Adaptively Learning Facial Expression Representation via C-F Labels and Distillation, 2021, IEEE Transactions on Image Processing
  • Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Their frequent co-authors include:

  • Nannan Wang
  • Xi Yang
  • Chunlei Peng
  • Decheng Liu
  • Weisheng Li

Key publication venues where Xinbo Gao has contributed multiple works are:

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

Xinbo Gao's research fields of study primarily cover:

  • Computer Science
  • Engineering

Within these fields, notable subfields are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Aerospace Engineering
  • Biomedical Engineering

The main research topics addressed in their work include:

  • Video Surveillance and Tracking Methods
  • Advanced Image Processing Techniques
  • Face recognition and analysis
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Fusion Techniques
  • Generative Adversarial Networks and Image Synthesis

In addition to journal articles, Xinbo Gao has contributed to book publications, including a title under the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: Wireless Mobile Communication and Healthcare, published in 2022.

Best Publications

  • Lightweight Image Super-Resolution with Information Multi-distillation Network

    Zheng Hui;Xinbo Gao;Yunchu Yang;Xiumei Wang

  • Fast and Accurate Single Image Super-Resolution via Information Distillation Network

    Zheng Hui;Xiumei Wang;Xinbo Gao

  • A survey of graph edit distance

    Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li

  • Ordinal Regression with Multiple Output CNN for Age Estimation

    Zhenxing Niu;Mo Zhou;Le Wang;Xinbo Gao

  • Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression

    Kaibing Zhang;Xinbo Gao;Dacheng Tao;Xuelong Li

  • Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

    Chao Li;Cheng Deng;Ning Li;Wei Liu

  • Blind Image Quality Assessment via Deep Learning

    Weilong Hou;Xinbo Gao;Dacheng Tao;Xuelong Li

  • Triplet-Based Deep Hashing Network for Cross-Modal Retrieval

    Cheng Deng;Zhaojia Chen;Xianglong Liu;Xinbo Gao

  • A Comprehensive Survey to Face Hallucination

    Nannan Wang;Dacheng Tao;Xinbo Gao;Xuelong Li

  • Image Super-Resolution With Sparse Neighbor Embedding

    Xinbo Gao;Kaibing Zhang;Dacheng Tao;Xuelong Li

  • A multi-frame image super-resolution method

    Xuelong Li;Yanting Hu;Xinbo Gao;Dacheng Tao

  • A deep feature based framework for breast masses classification

    Zhicheng Jiao;Xinbo Gao;Ying Wang;Jie Li

  • Pairwise relationship guided deep hashing for cross-modal retrieval

    Erkun Yang;Cheng Deng;Wei Liu;Xianglong Liu

  • Image Quality Assessment Based on Multiscale Geometric Analysis

    Xinbo Gao;Wen Lu;Dacheng Tao;Xuelong Li

  • Semi-Supervised Nonnegative Matrix Factorization via Constraint Propagation

    Di Wang;Xinbo Gao;Xiumei Wang

  • Facial feature point detection: A comprehensive survey

    Nannan Wang;Xinbo Gao;Dacheng Tao;Heng Yang

  • Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution

    Yanting Hu;Jie Li;Yuanfei Huang;Xinbo Gao

  • Tensorized Bipartite Graph Learning for Multi-View Clustering

    Unknown

  • Spectrum Sharing in Cognitive Radio Networks—An Auction-Based Approach

    Xinbing Wang;Zheng Li;Pengchao Xu;Youyun Xu

  • HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification

    Yi Hao;Nannan Wang;Jie Li;Xinbo Gao

  • Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution

    Kaibing Zhang;Dacheng Tao;Xinbo Gao;Xuelong Li

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Xuelong Li
Xuelong Li China Telecom (China)
Nannan Wang
Nannan Wang Xidian University
Cheng Deng
Cheng Deng Xidian University
Quanxue Gao
Quanxue Gao Xidian University
Qi Tian
Qi Tian Huawei Technologies (China)
Yang Liu
Yang Liu Linköping University
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Wei Liu
Wei Liu Tencent (China)
Jie Tian
Jie Tian Chinese Academy of Sciences

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