World's Best Scientists 2026 revealed!
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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
148
Citations
156474
World Ranking
36
National Ranking
2

Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Xiaoou Tang was affiliated with the Chinese University of Hong Kong in China. Their research contributions spanned various areas within computer science and engineering, reflecting a multidisciplinary approach to emerging technological challenges.

Their work prominently featured publications in the fields of Computer Science and Engineering, including subfields such as Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Civil and Structural Engineering, Artificial Intelligence, and Radiology, Nuclear Medicine and Imaging.

The main topics covered in their research included:

  • Industrial Vision Systems and Defect Detection
  • Infrastructure Maintenance and Monitoring
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • COVID-19 diagnosis using AI
  • Misinformation and Its Impacts

Frequent publication venues for their work included:

  • IEEE Transactions on Instrumentation and Measurement
  • Expert Systems with Applications
  • IEEE Access

Xiaoou Tang collaborated with several coauthors throughout their career, including:

  • Chang Shu
  • Xiu Li
  • Hantao Zhou
  • Rui Yang
  • Runze Hu

Among their recent papers were:

  • "ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection," published in 2023 in IEEE Transactions on Instrumentation and Measurement
  • "MITER: Medical Image-TExt joint adaptive pretRaining with multi-level contrastive learning," published in 2023 in Expert Systems with Applications
  • "Unverified Rumor Detection," published in 2025 in IEEE Access

Best Publications

  • Image Super-Resolution Using Deep Convolutional Networks

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • Single Image Haze Removal Using Dark Channel Prior

    Kaiming He;Jian Sun;Xiaoou Tang

  • Deep Learning Face Attributes in the Wild

    Ziwei Liu;Ping Luo;Xiaogang Wang;Xiaoou Tang

  • Single image haze removal using dark channel prior

    Kaiming He;Jian Sun;Xiaoou Tang

  • Guided image filtering

    Kaiming He;Jian Sun;Xiaoou Tang

  • Guided Image Filtering

    Kaiming He;Jian Sun;Xiaoou Tang

  • Learning a Deep Convolutional Network for Image Super-Resolution

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • 3D ShapeNets: A deep representation for volumetric shapes

    Zhirong Wu;Shuran Song;Aditya Khosla;Fisher Yu

  • Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • Residual Attention Network for Image Classification

    Fei Wang;Mengqing Jiang;Chen Qian;Shuo Yang

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

  • Accelerating the Super-Resolution Convolutional Neural Network

    Chao Dong;Chen Change Loy;Xiaoou Tang

  • Action recognition with trajectory-pooled deep-convolutional descriptors

    Limin Wang;Yu Qiao;Xiaoou Tang

  • Learning to Detect a Salient Object

    Tie Liu;Zejian Yuan;Jian Sun;Jingdong Wang

  • Learning to Detect A Salient Object

    Tie Liu;Jian Sun;Nan-Ning Zheng;Xiaoou Tang

  • Deep Learning Face Representation from Predicting 10,000 Classes

    Yi Sun;Xiaogang Wang;Xiaoou Tang

  • Deep Learning Face Representation by Joint Identification-Verification

    Yi Sun;Yuheng Chen;Xiaogang Wang;Xiaoou Tang

  • WIDER FACE: A Face Detection Benchmark

    Shuo Yang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

    Ziwei Liu;Ping Luo;Shi Qiu;Xiaogang Wang

  • Deep Convolutional Network Cascade for Facial Point Detection

    Yi Sun;Xiaogang Wang;Xiaoou Tang

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

Frequent Co-Authors

Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Chen Change Loy
Chen Change Loy Nanyang Technological University
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Ping Luo
Ping Luo University of Hong Kong
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Shuicheng Yan
Shuicheng Yan National University of Singapore
Jian Sun
Jian Sun Megvii
Yu Qiao
Yu Qiao Chinese Academy of Sciences
Zhouchen Lin
Zhouchen Lin Peking University
Ziwei Liu
Ziwei Liu Nanyang Technological University

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