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D-Index & Metrics

Computer Science

D-Index
63
Citations
19453
World Ranking
2717
National Ranking
371

Overview

Bao-Liang Lu is affiliated with Shanghai Jiao Tong University in China. Their research primarily focuses on neuroscience, psychology, and computer science, with significant contributions to cognitive neuroscience and experimental and cognitive psychology. They have also conducted work in artificial intelligence, human-computer interaction, and cardiology and cardiovascular medicine.

The scientist's research topics include:

  • EEG and Brain-Computer Interfaces
  • Emotion and Mood Recognition
  • Gaze Tracking and Assistive Technology
  • Neural Dynamics and Brain Function
  • Advanced Memory and Neural Computing
  • ECG Monitoring and Analysis
  • Sleep and Work-Related Fatigue

They have published extensively in several prominent venues. The most frequent publication venues for their work are:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • Journal of Neural Engineering
  • IEEE Transactions on Cognitive and Developmental Systems
  • IEEE Transactions on Instrumentation and Measurement

Notable recent papers authored or co-authored by Bao-Liang Lu include:

  • Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016, 2020, IEEE Transactions on Cognitive and Developmental Systems
  • Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition, 2022, IEEE Transactions on Cognitive and Developmental Systems
  • Investigating EEG-based functional connectivity patterns for multimodal emotion recognition, 2022, Journal of Neural Engineering
  • Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks, 2020, Neurocomputing
  • Data augmentation for enhancing EEG-based emotion recognition with deep generative models, 2020, Journal of Neural Engineering

Frequently collaborating co-authors associated with Bao-Liang Lu include:

  • Wei-Long Zheng
  • Yong Peng
  • Wanzeng Kong
  • Feiping Nie
  • Wei-Bang Jiang

Best Publications

  • Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

    Wei-Long Zheng;Bao-Liang Lu

  • EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

    Wei-Long Zheng;Wei Liu;Yifei Lu;Bao-Liang Lu

  • Differential entropy feature for EEG-based emotion classification

    Ruo-Nan Duan;Jia-Yi Zhu;Bao-Liang Lu

  • Identifying Stable Patterns over Time for Emotion Recognition from EEG

    Wei-Long Zheng;Jia-Yi Zhu;Bao-Liang Lu

  • Emotional state classification from EEG data using machine learning approach

    Xiao-Wei Wang;Dan Nie;Bao-Liang Lu

  • Emotion classification based on gamma-band EEG

    Mu Li;Bao-Liang Lu

  • EEG-based emotion recognition during watching movies

    Dan Nie;Xiao-Wei Wang;Li-Chen Shi;Bao-Liang Lu

  • EEG-based emotion classification using deep belief networks

    Wei-Long Zheng;Jia-Yi Zhu;Yong Peng;Bao-Liang Lu

  • A multimodal approach to estimating vigilance using EEG and forehead EOG.

    Wei-Long Zheng;Bao-Liang Lu

  • Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition

    Wei Liu;Jie-Lin Qiu;Wei-Long Zheng;Bao-Liang Lu

  • Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016

    Dongrui Wu;Yifan Xu;Bao-Liang Lu

  • Differential entropy feature for EEG-based vigilance estimation

    Li-Chen Shi;Ying-Ying Jiao;Bao-Liang Lu

  • Task decomposition and module combination based on class relations: a modular neural network for pattern classification

    Bao-Liang Lu;M. Ito

  • Advances in Neural Networks - ISNN 2006

    Jun Wang;Zhang Yi;Jacek M. Zurada;Bao-Liang Lu

  • Person-Specific SIFT Features for Face Recognition

    Jun Luo;Y. Ma;E. Takikawa;S. Lao

  • EEG-based emotion recognition using frequency domain features and support vector machines

    Xiao-Wei Wang;Dan Nie;Bao-Liang Lu

  • Emotion Recognition Using Multimodal Deep Learning

    Wei Liu;Wei-Long Zheng;Bao-Liang Lu

  • Multimodal emotion recognition using EEG and eye tracking data

    Wei-Long Zheng;Bo-Nan Dong;Bao-Liang Lu

  • Multi-view gender classification using local binary patterns and support vector machines

    Hui-Cheng Lian;Bao-Liang Lu

  • Emotion Recognition using Multimodal Residual LSTM Network

    Jiaxin Ma;Hao Tang;Wei-Long Zheng;Bao-Liang Lu

  • Combining eye movements and EEG to enhance emotion recognition

    Yifei Lu;Wei-Long Zheng;Binbin Li;Bao-Liang Lu

Frequent Co-Authors

Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Masao Utiyama
Masao Utiyama National Institute of Information and Communications Technology
James T. Kwok
James T. Kwok Hong Kong University of Science and Technology
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Hongtao Lu
Hongtao Lu Shanghai Jiao Tong University
Zhang Yi
Zhang Yi Sichuan University
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Lei Zhang
Lei Zhang International Digital Economy Academy
Hujun Yin
Hujun Yin University of Manchester
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor

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