World's Best Scientists 2026 revealed!
Changshui Zhang

Changshui Zhang

D-Index & Metrics

Computer Science

D-Index
79
Citations
27006
World Ranking
1136
National Ranking
162

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to semi-supervised learning for signal processing

Overview

Changshui Zhang is affiliated with Tsinghua University in China and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence and Computer Vision and Pattern Recognition.

The researcher has published over two hundred works, with significant attention to subfields such as Signal Processing, Transportation, and Materials Chemistry. Major thematic areas include Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, and Multimodal Machine Learning Applications. Other notable topics of work are Anomaly Detection Techniques and Applications, Topic Modeling, Adversarial Robustness in Machine Learning, and Explainable Artificial Intelligence (XAI).

Frequent publication venues for Zhang's research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition
  • Proceedings of the AAAI Conference on Artificial Intelligence

Changshui Zhang has collaborated regularly with a group of co-authors, including Shan You, Chen Qian, Chang Xu, Fei Wang, and Ruixin Hong.

Several recent papers authored or co-authored by Zhang demonstrate breadth in both applied and theoretical aspects of machine learning and recognition technologies:

  • "Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding," 2020, Pattern Recognition
  • "A survey on machine learning from few samples," 2023, Pattern Recognition
  • "Robust Few-Shot Learning for User-Provided Data," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "ReSSL: Relational Self-Supervised Learning with Weak Augmentation," 2021, arXiv (Cornell University)
  • "Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning," 2021, arXiv (Cornell University)

In addition to articles, Zhang has authored multiple books published by Springer Science+Business Media, mainly concentrated on Pattern Recognition and Computer Vision. These works, mostly published in 2021, contribute to the knowledge dissemination in the field.

Recognition for professional contributions includes the IEEE Fellow award received in 2018 for work on semi-supervised learning techniques applied to signal processing tasks.

Best Publications

  • Learning Efficient Convolutional Networks through Network Slimming

    Zhuang Liu;Jianguo Li;Zhiqiang Shen;Gao Huang

  • Label Propagation through Linear Neighborhoods

    Fei Wang;Changshui Zhang

  • Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs

    Zhonglin Lin;Changshui Zhang;Wei Wu;Xiaorong Gao

  • A bayesian network approach to traffic flow forecasting

    Shiliang Sun;Changshui Zhang;Guoqiang Yu

  • Learning a Mahalanobis distance metric for data clustering and classification

    Shiming Xiang;Feiping Nie;Changshui Zhang

  • Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

    Feiping Nie;Dong Xu;Ivor Wai-Hung Tsang;Changshui Zhang

  • Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

    Shiming Xiang;Feiping Nie;Gaofeng Meng;Chunhong Pan

  • A two-step approach to hallucinating faces: global parametric model and local nonparametric model

    Ce Liu;Heung-Yeung Shum;Chang-Shui Zhang

  • Manifold-ranking based image retrieval

    Jingrui He;Mingjing Li;Hong-Jiang Zhang;Hanghang Tong

  • Blur detection for digital images using wavelet transform

    Hanghang Tong;Mingjing Li;Hongjiang Zhang;Changshui Zhang

  • Trace ratio criterion for feature selection

    Feiping Nie;Shiming Xiang;Yangqing Jia;Changshui Zhang

  • A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training

    Runpeng Cui;Hu Liu;Changshui Zhang

  • An in-field automatic wheat disease diagnosis system

    Jiang Lu;Jie Hu;Guannan Zhao;Fenghua Mei

  • Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks

    Junqi Jin;Kun Fu;Changshui Zhang

  • Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization

    Runpeng Cui;Hu Liu;Changshui Zhang

  • Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering

    Feiping Nie;Zinan Zeng;I. W. Tsang;Dong Xu

  • Trace Ratio Problem Revisited

    Yangqing Jia;Feiping Nie;Changshui Zhang

  • Robust multi-task feature learning

    Pinghua Gong;Jieping Ye;Changshui Zhang

  • A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

    Pinghua Gong;Changshui Zhang;Zhaosong Lu;Jianhua Huang

  • DeepFish: Accurate underwater live fish recognition with a deep architecture

    Hongwei Qin;Xiu Li;Jian Liang;Yigang Peng

Frequent Co-Authors

Feiping Nie
Feiping Nie Northwestern Polytechnical University
Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Zhenwei Shi
Zhenwei Shi Beihang University
Shiliang Sun
Shiliang Sun East China Normal University
Jingrui He
Jingrui He University of Illinois at Urbana-Champaign
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Jingdong Wang
Jingdong Wang Baidu (China)
Yangqing Jia
Yangqing Jia Alibaba Group (China)

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