World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
4238
World Ranking
9913
National Ranking
1251

Overview

Dao-Qing Dai is affiliated with Sun Yat-sen University in China and has contributed extensively to the fields of computer science and biochemistry, genetics, and molecular biology. Their research spans multiple interdisciplinary areas, focusing on advanced computational techniques and their applications in biological and imaging sciences.

The main fields of study covered by Dao-Qing Dai include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these broad domains, Dao-Qing Dai's work is concentrated in key subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Materials Chemistry
  • Media Technology

The research topics addressed encompass a diverse range of contemporary issues including:

  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Extreme Learning Machines (ELM)
  • Multimodal Machine Learning Applications
  • Bioinformatics and Genomic Networks
  • Gene Expression and Cancer Classification
  • Remote-Sensing Image Classification
  • Radiomics and Machine Learning in Medical Imaging

Dao-Qing Dai has coauthored publications with several researchers, with frequent collaborators being:

  • Chuan-Xian Ren
  • Weiwen Wang
  • You-Wei Luo
  • Hong Yan
  • Ke-Kun Huang

The scientist has published papers in various venues, with multiple contributions in several journals and platforms such as:

  • Briefings in Bioinformatics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition
  • arXiv (Cornell University)
  • The Cambridge Structural Database

Recent papers by Dao-Qing Dai include:

  • "Unsupervised Domain Adaptation via Discriminative Manifold Propagation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter," 2021, IEEE Transactions on Cybernetics
  • "Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss," 2020, Pattern Recognition
  • "BuresNet: Conditional Bures Metric for Transferable Representation Learning," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data," 2021, Briefings in Bioinformatics

Best Publications

  • Human face recognition using PCA on wavelet subband

    Guo-Can Feng;Pong Chi Yuen;Dao-Qing Dai

  • Regularized discriminant analysis and its application to face recognition

    Dao Qing Dai;Pong Chi Yuen

  • Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise

    Yan-Ran Li;Lixin Shen;Dao-Qing Dai;B W Suter

  • Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition

    Wen-Sheng Chen;P.C. Yuen;Jian Huang;Dao-Qing Dai

  • Coupled Kernel Embedding for Low-Resolution Face Image Recognition

    Chuan-Xian Ren;Dao-Qing Dai;Hong Yan

  • Structured Sparse Error Coding for Face Recognition With Occlusion

    Xiao-Xin Li;Dao-Qing Dai;Xiao-Fei Zhang;Chuan-Xian Ren

  • Face Recognition Using Dual-Tree Complex Wavelet Features

    Chao-Chun Liu;Dao-Qing Dai

  • Face Recognition by Regularized Discriminant Analysis

    Dao-Qing Dai;P.C. Yuen

  • Robust classification using l 2,1 -norm based regression model

    Chuan-Xian Ren;Dao-Qing Dai;Hong Yan

  • Improved discriminate analysis for high-dimensional data and its application to face recognition

    Xiao-Sheng Zhuang;Dao-Qing Dai

  • Unsupervised Domain Adaptation via Discriminative Manifold Propagation.

    You-Wei Luo;Chuan-Xian Ren;Dao-Qing Dai;Hong Yan

  • Detecting temporal protein complexes from dynamic protein-protein interaction networks.

    Le Ou-Yang;Dao-Qing Dai;Xiao-Li Li;Min Wu

  • Wavelets and Face Recognition

    Dao-Qing Dai;Hong Yan

  • Local Discriminant Wavelet Packet Coordinates for Face Recognition

    Chao-Chun Liu;Dao-Qing Dai;Hong Yan

  • Finding Correlated Biclusters from Gene Expression Data

    Wen-Hui Yang;Dao-Qing Dai;Hong Yan

  • Rapid and brief communication: Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition

    Xiao-Sheng Zhuang;Dao-Qing Dai

  • Incremental learning of bidirectional principal components for face recognition

    Chuan-Xian Ren;Dao-Qing Dai

  • Learning Kernel Extended Dictionary for Face Recognition

    Ke-Kun Huang;Dao-Qing Dai;Chuan-Xian Ren;Zhao-Rong Lai

  • Determining minimum set of driver nodes in protein-protein interaction networks.

    Xiao-Fei Zhang;Le Ou-Yang;Yuan Zhu;Meng-Yun Wu

  • Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions

    Zhao-Rong Lai;Dao-Qing Dai;Chuan-Xian Ren;Ke-Kun Huang

  • Nonlocal boundary problems for a third-order one-dimensional nonlinear pseudoparabolic equation

    Dao-Qing Dai;Yu Huang

Frequent Co-Authors

Hong Yan
Hong Yan City University of Hong Kong
Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Arye Nehorai
Arye Nehorai Washington University in St. Louis
Xiaohua Hu
Xiaohua Hu Drexel University
Jiashi Feng
Jiashi Feng ByteDance
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Guodong Guo
Guodong Guo West Virginia University
Xiaofei He
Xiaofei He Zhejiang University

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