World's Best Scientists 2026 revealed!
Qibin Zhao

Qibin Zhao

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
10778
World Ranking
5840
National Ranking
78

Research.com Recognitions

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

Overview

Qibin Zhao is affiliated with RIKEN in Japan and has contributed extensively to research in computer science and engineering, with a focus on computational methods and applications. Their work encompasses a range of interdisciplinary fields and advanced techniques related to imaging, tensor decomposition, and neural data analysis.

Zhao's research has been published in various scientific venues, including a notable body of work appearing in arXiv (Cornell University), Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and SSRN Electronic Journal.

The scientist's main fields of study are:

  • Computer Science
  • Engineering

Within these domains, Zhao's subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mathematics
  • Computational Mechanics
  • Radiology, Nuclear Medicine and Imaging

The research topics Zhao has focused on are diverse, reflecting a strong computational and applied science orientation:

  • Tensor decomposition and applications
  • Sparse and Compressive Sensing Techniques
  • Advanced Neuroimaging Techniques and Applications
  • Image and Signal Denoising Methods
  • EEG and Brain-Computer Interfaces
  • Computational Physics and Python Applications
  • Face and Expression Recognition

Zhao has collaborated frequently with several co-authors:

  • Guoxu Zhou
  • Toshihisa Tanaka
  • Yuning Qiu
  • Shengli Xie
  • Zhenhao Huang

The scientist's recent papers include:

  • "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration," 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Hyperspectral super-resolution via coupled tensor ring factorization," 2021, published in Pattern Recognition
  • "Topological Network Analysis of Early Alzheimer's Disease Based on Resting-State EEG," 2020, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis," 2022, published in IEEE Transactions on Circuits and Systems for Video Technology

Best Publications

  • Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

    Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou

  • Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

    Qibin Zhao;Liqing Zhang;Andrzej Cichocki

  • Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

    A. Cichocki;D. Mandic;A-H. Phan;C. Caiafa

  • Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.

    Andrzej Cichocki;Namgil Lee;Ivan V. Oseledets;Anh Huy Phan

  • ECG Feature Extraction and Classification Using Wavelet Transform and Support Vector Machines

    Qibin Zhao;Liqing Zhang

  • Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

    Andrzej Cichocki;Namgil Lee;Ivan Oseledets;Anh-Huy Phan

  • Smooth PARAFAC Decomposition for Tensor Completion

    Tatsuya Yokota;Qibin Zhao;Andrzej Cichocki

  • Sparse Bayesian Classification of EEG for Brain–Computer Interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Qibin Zhao

  • Bayesian Robust Tensor Factorization for Incomplete Multiway Data

    Qibin Zhao;Guoxu Zhou;Liqing Zhang;Andrzej Cichocki

  • Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

    A. Cichocki;A-H. Phan;Q. Zhao;N. Lee

  • Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

    Guoxu Zhou;Qibin Zhao;Yu Zhang;Tulay Adali

  • Multiway canonical correlation analysis for frequency components recognition in SSVEP-Based BCIs

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Akinari Onishi

  • A novel BCI based on ERP components sensitive to configural processing of human faces

    Yu Zhang;Qibin Zhao;Jing Jin;Xingyu Wang

  • Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

  • Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

    A. Cichocki;Y. Washizawa;T. Rutkowski;H. Bakardjian

  • Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion

    Longhao Yuan;Chao Li;Danilo P. Mandic;Jianting Cao

  • Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration.

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

  • Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

    Qibin Zhao;C. F. Caiafa;D. P. Mandic;Z. C. Chao

  • Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Jing Jin

  • Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

    Guoxu Zhou;Andrzej Cichocki;Qibin Zhao;Shengli Xie

  • EEG-based asynchronous BCI control of a car in 3D virtual reality environments

    QiBin Zhao;LiQing Zhang;Andrzej Cichocki

  • Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Guoxu Zhou
Guoxu Zhou Guangdong University of Technology
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Shengli Xie
Shengli Xie Guangdong University of Technology
Tapani Ristaniemi
Tapani Ristaniemi University of Jyväskylä
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Naoto Yokoya
Naoto Yokoya University of Tokyo
Jing Jin
Jing Jin East China University of Science and Technology
Asoke K. Nandi
Asoke K. Nandi Brunel University London

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