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Computer Science

D-Index
40
Citations
7718
World Ranking
9225
National Ranking
1172

Overview

Chao Xu is a researcher affiliated with Peking University in China, specializing primarily in the fields of computer science and engineering. Their scholarly work spans multiple subfields, with a particular focus on computer vision and pattern recognition, aerospace engineering, artificial intelligence, astronomy and astrophysics, and biomedical engineering.

The research topics covered by Chao Xu include advanced neural network applications, advanced image processing techniques, astro and planetary science, spacecraft dynamics and control, domain adaptation and few-shot learning, image and signal denoising methods, and planetary science and exploration.

Their recent scholarly papers illustrate a focus on neural networks, image processing, and domain adaptation. Notable publications include:

  • "Source-Free Domain Adaptation via Distribution Estimation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Pre-Trained Image Processing Transformer," 2020, arXiv (Cornell University)
  • "SCOP: Scientific Control for Reliable Neural Network Pruning," 2020, arXiv (Cornell University)
  • "Hire-MLP: Vision MLP via Hierarchical Rearrangement," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Distilling Portable Generative Adversarial Networks for Image Translation," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Chao Xu frequently publishes in venues such as arXiv (Cornell University), Astrodynamics, IEEE Transactions on Pattern Analysis and Machine Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the Proceedings of the AAAI Conference on Artificial Intelligence.

The researcher maintains a network of frequent collaborators, including Boxin Shi, Chang Xu, Xiang-Yu Huang, Yehui Tang, and Yunhe Wang.

Best Publications

  • A Survey on Multi-view Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Multi-View Intact Space Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Learning from Multiple Teacher Networks

    Shan You;Chang Xu;Chao Xu;Dacheng Tao

  • Large-Margin Multi-ViewInformation Bottleneck

    Chang Xu;Dacheng Tao;Chao Xu

  • Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction

    Yong Luo;Dacheng Tao;Kotagiri Ramamohanarao;Chao Xu

  • Ensemble Manifold Regularization

    Bo Geng;Dacheng Tao;Chao Xu;Linjun Yang

  • Multi-View Learning With Incomplete Views

    Chang Xu;Dacheng Tao;Chao Xu

  • DAML: Domain Adaptation Metric Learning

    Bo Geng;Dacheng Tao;Chao Xu

  • Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification

    Yong Luo;Dacheng Tao;Bo Geng;Chao Xu

  • An Image Patch is a Wave: Phase-Aware Vision MLP

    Unknown

  • CNNpack: packing convolutional neural networks in the frequency domain

    Yunhe Wang;Chang Xu;Shan You;Dacheng Tao

  • Source-Free Domain Adaptation via Distribution Estimation

    Unknown

  • Multiview Matrix Completion for Multilabel Image Classification

    Yong Luo;Tongliang Liu;Dacheng Tao;Chao Xu

  • Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification

    Yong Luo;Dacheng Tao;Chang Xu;Chao Xu

  • Self-calibrating photometric stereo

    Boxin Shi;Yasuyuki Matsushita;Yichen Wei;Chao Xu

  • Hire-MLP: Vision MLP via Hierarchical Rearrangement

    Unknown

  • Robust Extreme Multi-label Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Ranking Model Adaptation for Domain-Specific Search

    Bo Geng;Linjun Yang;Chao Xu;Xian-Sheng Hua

  • Database Saliency for Fast Image Retrieval

    Yuan Gao;Miaojing Shi;Dacheng Tao;Chao Xu

  • Multi-view self-paced learning for clustering

    Chang Xu;Dacheng Tao;Chao Xu

  • Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification

    Yong Luo;Yonggang Wen;Dacheng Tao;Jie Gui

  • Multi-View Matrix Completion for Multi-Label Image Classification

    Yong Luo;Tongliang Liu;Dacheng Tao;Chao Xu

  • Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

    Yong Luo;Dacheng Tao;Yonggang Wen;Kotagiri Ramamohanarao

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Chang Xu
Chang Xu University of Sydney
Boxin Shi
Boxin Shi Peking University
Linjun Yang
Linjun Yang Microsoft (United States)
Yonggang Wen
Yonggang Wen Nanyang Technological University
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Qi Tian
Qi Tian Huawei Technologies (China)
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Tongliang Liu
Tongliang Liu University of Sydney

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