World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
3483
World Ranking
14147
National Ranking
1713

Overview

Mingbo Zhao is affiliated with Donghua University in China, actively contributing to research primarily in computer science and engineering. Their work spans several subfields including computer vision and pattern recognition, artificial intelligence, media technology, computational mechanics, and electrical and electronic engineering.

The scientist has published extensively in numerous venues, frequently contributing to:

  • IEEE Transactions on Consumer Electronics
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Neural Computing and Applications
  • Knowledge-Based Systems

Their research interest covers multiple advanced topics within image and vision technologies. These topics include:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis

Among the recent papers authored or co-authored by Mingbo Zhao are:

  • "Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine," published in 2020 in IEEE Access
  • "Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation," published in 2020 in IEEE Transactions on Circuits and Systems for Video Technology
  • "Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification," published in 2020 in IEEE Transactions on Neural Networks and Learning Systems
  • "A hybrid machine learning framework for forecasting house price," published in 2023 in Expert Systems with Applications
  • "Deep-recursive residual network for image semantic segmentation," published in 2020 in Neural Computing and Applications

Mingbo Zhao frequently collaborates with several researchers, including:

  • Zhao Zhang
  • Meng Wang
  • Kwok Tai Chui
  • Choujun Zhan
  • Jicong Fan

Their body of work includes 97 publications in computer science and 33 in engineering, reflecting a significant focus on technical and applied research in these disciplines.

Best Publications

  • Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

    Xiaohang Jin;Mingbo Zhao;Tommy W. S. Chow;Michael Pecht

  • NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

    Yuan Gao;Jiayi Ma;Mingbo Zhao;Wei Liu

  • Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction

    Zhao Zhang;Fanzhang Li;Mingbo Zhao;Li Zhang

  • Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

    Kwok Tai Chui;Wadee Alhalabi;Sally Shuk Han Pang;Patricia Ordóñez de Pablos

  • Fault diagnosis of rolling element bearings via discriminative subspace learning

    Mingbo Zhao;Xiaohang Jin;Zhao Zhang;Bing Li

  • Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification

    Zhao Zhang;Fanzhang Li;Mingbo Zhao;Li Zhang

  • M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction

    Zhao Zhang;Tommy W. S. Chow;Mingbo Zhao

  • Predicting Students’ Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine

    Kwok Tai Chui;Ryan Wen Liu;Mingbo Zhao;Patricia Ordonez De Pablos

  • Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization

    Zhao Zhang;T. W. S. Chow;Mingbo Zhao

  • Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood

    Zhao Zhang;Mingbo Zhao;Tommy W.S. Chow

  • Automatic image annotation via compact graph based semi-supervised learning

    Mingbo Zhao;Tommy W. S. Chow;Zhao Zhang;Bing Li

  • Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction

    Mingbo Zhao;Zhao Zhang;Tommy W. S. Chow

  • Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification

    Weiming Jiang;Zhao Zhang;Fanzhang Li;Li Zhang

  • Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

    Dawei Li;Guoliang Shi;Yuhao Wu;Yanping Yang

  • Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation

    Zhao Zhang;Zhao Zhang;Yan Zhang;Yan Zhang;Fanzhang Li;Fanzhang Li;Mingbo Zhao

  • Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification

    Zhao Zhang;Mingbo Zhao;Tommy W. S. Chow

  • Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction

    Mingbo Zhao;Tommy W.S. Chow;Zhou Wu;Zhao Zhang

  • A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition

    Haijun Zhang;Q. M. Jonathan Wu;Tommy W. S. Chow;Mingbo Zhao

  • A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction.

    Mingbo Zhao;Zhao Zhang;Tommy W.S. Chow;Bing Li

  • Similarity preserving low-rank representation for enhanced data representation and effective subspace learning.

    Zhao Zhang;Zhao Zhang;Shuicheng Yan;Mingbo Zhao

  • Big data and IoT solution for patient behaviour monitoring

    Kwok Tai Chui;Ryan Wen Liu;Miltiadis D. Lytras;Mingbo Zhao

  • Bridging User Interest to Item Content for Recommender Systems: An Optimization Model

    Haijun Zhang;Yanfang Sun;Mingbo Zhao;Tommy W. S. Chow

  • Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification

    Zhao Zhang;Shuicheng Yan;Mingbo Zhao

Frequent Co-Authors

Zhao Zhang
Zhao Zhang Hefei University of Technology
Tommy W. S. Chow
Tommy W. S. Chow City University of Hong Kong
Shuicheng Yan
Shuicheng Yan National University of Singapore
Meng Wang
Meng Wang Hefei University of Technology
Min Zhang
Min Zhang Tsinghua University
Yuan Gao
Yuan Gao Northeastern University
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Patricia Ordóñez de Pablos
Patricia Ordóñez de Pablos University of Oviedo
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences

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