World's Best Scientists 2026 revealed!

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Computer Science

D-Index
35
Citations
3942
World Ranking
11838
National Ranking
1473

Overview

Zhenghui Gu is affiliated with South China University of Technology in China. Their research predominantly focuses on neuroscience and engineering, bringing together interdisciplinary knowledge from these fields.

The main fields of study covered in their work include:

  • Neuroscience
  • Engineering

Within these areas, Gu has contributed to several subfields such as:

  • Cognitive Neuroscience
  • Electrical and Electronic Engineering
  • Signal Processing
  • Cellular and Molecular Neuroscience
  • Computer Vision and Pattern Recognition

Their research topics demonstrate a focus on:

  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Blind Source Separation Techniques
  • Sparse and Compressive Sensing Techniques
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications

Gu has several recent publications that reflect their research areas. Selected works include:

  • "Deep Temporal-Spatial Feature Learning for Motor Imagery-Based Brain-Computer Interfaces" (2020), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification" (2020), published in IEEE Transactions on Cybernetics
  • "A Bayesian Shared Control Approach for Wheelchair Robot With Brain Machine Interface" (2020), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Capsule Network for ERP Detection in Brain-Computer Interface" (2021), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding" (2023), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering

Gu frequently publishes in the following venues:

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Biomedical Engineering
  • Neurocomputing

Collaboration is notable in Gu's work, with several frequent co-authors:

  • Yuanqing Li
  • Zhu Liang Yu
  • Tianyou Yu
  • Zhuliang Yu
  • Jun Zhang

Their publications contribute to the domains of cognitive neuroscience and neural engineering, utilizing advanced techniques in EEG data processing, brain-computer interfaces, and neural signal classification. This multifaceted approach combines theoretical and applied research within biomedical and electronic engineering frameworks.

Best Publications

  • Control of a Wheelchair in an Indoor Environment Based on a Brain–Computer Interface and Automated Navigation

    Rui Zhang;Yuanqing Li;Yongyong Yan;Hao Zhang

  • Deep learning based on Batch Normalization for P300 signal detection

    Mingfei Liu;Wei Wu;Zhenghui Gu;Zhuliang Yu

  • Target Selection With Hybrid Feature for BCI-Based 2-D Cursor Control

    Jinyi Long;Yuanqing Li;Tianyou Yu;Zhenghui Gu

  • An asynchronous wheelchair control by hybrid EEG–EOG brain–computer interface

    Hongtao Wang;Hongtao Wang;Yuanqing Li;Jinyi Long;Tianyou Yu

  • Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback

    Tianyou Yu;Jun Xiao;Fangyi Wang;Rui Zhang

  • Robust Adaptive Beamformers Based on Worst-Case Optimization and Constraints on Magnitude Response

    Zhu Liang Yu;Wee Ser;Meng Hwa Er;Zhenghui Gu

  • An EOG-Based Human–Machine Interface for Wheelchair Control

    Qiyun Huang;Shenghong He;Qihong Wang;Zhenghui Gu

  • Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices

    Xiaofeng Xie;Zhu Liang Yu;Haiping Lu;Zhenghui Gu

  • Voxel Selection in fMRI Data Analysis Based on Sparse Representation

    Yuanqing Li;P. Namburi;Zhuliang Yu;Cuntai Guan

  • Surfing the internet with a BCI mouse

    Tianyou Yu;Yuanqing Li;Jinyi Long;Zhenghui Gu

  • Decoding hand movement velocity from electroencephalogram signals during a drawing task

    Jun Lv;Yuanqing Li;Zhenghui Gu

  • Discrimination Between Control and Idle States in Asynchronous SSVEP-Based Brain Switches: A Pseudo-Key-Based Approach

    Jiahui Pan;Yuanqing Li;Rui Zhang;Zhenghui Gu

  • Sparse Representation for Brain Signal Processing: A tutorial on methods and applications

    Yuanqing Li;Zhu Liang Yu;Ning Bi;Yong Xu

  • Deep Temporal-Spatial Feature Learning for Motor Imagery-Based Brain–Computer Interfaces

    Junjian Chen;Zhuliang Yu;Zhenghui Gu;Yuanqing Li

  • Grouped Automatic Relevance Determination and Its Application in Channel Selection for P300 BCIs

    Tianyou Yu;Zhuliang Yu;Zhenghui Gu;Yuanqing Li

  • Energy-Efficient ECG Compression on Wireless Biosensors via Minimal Coherence Sensing and Weighted $ll_1$ Minimization Reconstruction

    Jun Zhang;Zhenghui Gu;Zhu Liang Yu;Yuanqing Li

  • A Robust Adaptive Beamformer Based on Worst-Case Semi-Definite Programming

    Zhu Liang Yu;Zhenghui Gu;Jianjiang Zhou;Yuanqing Li

  • An Online Semi-supervised Brain–Computer Interface

    Zhenghui Gu;Zhuliang Yu;Zhifang Shen;Yuanqing Li

  • Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification

    Feifei Qi;Wei Wu;Zhu Liang Yu;Zhenghui Gu

  • Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation

    Jingcong Li;Zhu Liang Yu;Zhenghui Gu;Hui Liu

  • A Novel clustering method based on hybrid K-nearest-neighbor graph

    Yikun Qin;Zhu Liang Yu;Chang-Dong Wang;Zhenghui Gu

Frequent Co-Authors

Zhu Liang Yu
Zhu Liang Yu South China University of Technology
Yuanqing Li
Yuanqing Li South China University of Technology
Jun Zhang
Jun Zhang Nanyang Technological University
Wee Ser
Wee Ser Nanyang Technological University
Srikantan S. Nagarajan
Srikantan S. Nagarajan University of California, San Francisco
Zhiping Lin
Zhiping Lin Nanyang Technological University
Huiling Tan
Huiling Tan University of Oxford
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science
Lianwen Jin
Lianwen Jin South China University of Technology

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