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Computer Science

D-Index
60
Citations
11160
World Ranking
3298
National Ranking
444

Overview

Yuanqing Li is affiliated with the South China University of Technology in China. Their research spans several disciplines with a focus on neuroscience, medicine, and computer science. Within these broad fields, their work engages closely with subfields such as cognitive neuroscience, computer vision and pattern recognition, electrical and electronic engineering, cellular and molecular neuroscience, and signal processing.

The scientist's main topics of research include:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Gaze Tracking and Assistive Technology
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Blind Source Separation Techniques
  • Neural dynamics and brain function

Yuanqing Li has contributed to numerous publications, especially within recurring venues such as:

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • IEEE Transactions on Biomedical Engineering
  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Cognitive and Developmental Systems

Recent notable papers authored or co-authored by Yuanqing Li include:

  • Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation (2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV))
  • Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform (2022, eLight)
  • Deep Temporal-Spatial Feature Learning for Motor Imagery-Based Brain-Computer Interfaces (2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering)
  • Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification (2020, IEEE Transactions on Cybernetics)
  • A Hybrid Asynchronous Brain-Computer Interface Combining SSVEP and EOG Signals (2020, IEEE Transactions on Biomedical Engineering)

The scientist collaborates frequently with several co-authors, including:

  • Zhenghui Gu
  • Jiahui Pan
  • Tianyou Yu
  • Zhu Liang Yu
  • Yajun Zhou

Best Publications

  • Underdetermined blind source separation based on sparse representation

    Yuanqing Li;S. Amari;A. Cichocki;D.W.C. Ho

  • Analysis of sparse representation and blind source separation

    Yuanqing Li;Andrzej Cichocki;Shun-ichi Amari

  • A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control

    Yuanqing Li;Jiahui Pan;Fei Wang;Zhuliang Yu

  • An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential

    Yuanqing Li;Jinyi Long;Tianyou Yu;Zhuliang Yu

  • A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair

    Jinyi Long;Yuanqing Li;Hongtao Wang;Tianyou Yu

  • A self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system

    Yuanqing Li;Cuntai Guan;Huiqi Li;Zhengyang Chin

  • 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

  • Probabilistic Common Spatial Patterns for Multichannel EEG Analysis

    Wei Wu;Zhe Chen;Xiaorong Gao;Yuanqing Li

  • A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality

    Zhijun Zhang;Yeyun Lu;Lunan Zheng;Shuai Li

  • Three Recurrent Neural Networks and Three Numerical Methods for Solving a Repetitive Motion Planning Scheme of Redundant Robot Manipulators

    Zhijun Zhang;Lunan Zheng;Junming Yu;Yuanqing Li

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

    Jinyi Long;Yuanqing Li;Tianyou Yu;Zhenghui Gu

  • Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

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

  • An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness

    Haiyun Huang;Qiuyou Xie;Jiahui Pan;Yanbin He

  • Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots

    Zhijun Zhang;Zhijun Li;Yunong Zhang;Yamei Luo

  • SPARSE COMPONENT ANALYSIS FOR BLIND SOURCE SEPARATION WITH LESS SENSORS THAN SOURCES

    Yuanqing Li;Andrzej Cichocki;Shun-ichi Amari

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

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

  • Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images

    Hao Xiong;Peiliang Lin;Jin-Gang Yu;Jin Ye

  • Discriminative Low-Rank Gabor Filtering for Spectral–Spatial Hyperspectral Image Classification

    Lin He;Jun Li;Antonio Plaza;Yuanqing Li

  • Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback

    Tianyou Yu;Jun Xiao;Fangyi Wang;Rui Zhang

  • Prognosis for patients with cognitive motor dissociation identified by brain-computer interface

    Jiahui Pan;Jiahui Pan;Qiuyou Xie;Pengmin Qin;Yan Chen

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

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

Frequent Co-Authors

Zhenghui Gu
Zhenghui Gu South China University of Technology
Zhu Liang Yu
Zhu Liang Yu South China University of Technology
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Cuntai Guan
Cuntai Guan Nanyang Technological University
Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science
Huiling Tan
Huiling Tan University of Oxford
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Srikantan S. Nagarajan
Srikantan S. Nagarajan University of California, San Francisco
Peter Brown
Peter Brown University of Oxford
Keyoumars Ashkan
Keyoumars Ashkan King's College London

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