Li Zhu

Orcid: 0000-0002-8223-856X

Affiliations:
  • Hangzhou Dianzi University, School of Computer Science, China
  • Xiamen University, School of Information Science and Engineering, Fujian, China


According to our database1, Li Zhu authored at least 25 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Brain-Eye Collaboration Target Detection and Localization in Remote Sensing Image.
IEEE Trans. Cogn. Dev. Syst., August, 2025

Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI.
CoRR, July, 2025

A multi-layer EEG fusion decoding method with channel selection for multi-brain motor imagery.
Comput. Methods Programs Biomed., 2025

2024
Automatically Extracting and Utilizing EEG Channel Importance Based on Graph Convolutional Network for Emotion Recognition.
IEEE J. Biomed. Health Informatics, August, 2024

DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning.
IEEE J. Biomed. Health Informatics, August, 2024

Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Exploration of Common Cognitive Perception Biomarker for Human: An EEG Empirical Analysis Study.
Proceedings of the International Conference on Cyberworlds, 2024

An EEG-based Decoding Method for Motor Imagery Intentions in Mixed-Subject Settings with Adversarial Disentanglement.
Proceedings of the International Conference on Cyberworlds, 2024

Comparisons on Perception Mechanism of Mental Rotation Between Health and Stroke Groups with EEG Indicators.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

The Impact of Dynamic Icons on Mobile APP Interfaces: Evidence from EEG and Eye-tracking Signals.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Causal Graph Convolutional Neural Network for Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Fusion Graph Representation of EEG for Emotion Recognition.
Sensors, February, 2023

2022
Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection.
IEEE Trans. Cogn. Dev. Syst., 2022

Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke.
Frontiers Comput. Neurosci., 2022

2021
EEG-Based Sleep Staging Analysis with Functional Connectivity.
Sensors, 2021

Speaker recognition with voice evoked EEG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Emotion Recognition Using Multi-core Tensor Learning and Multimodal Physiological Signal.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

2019
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features.
Sensors, 2019

UAV-Based Motion Target Detection and Tracking Method in Dynamic Scenes.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network.
Proceedings of the 2019 International Conference on Cyberworlds, 2019

sEMG-based lip shapes recognition.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

Gender recognition in emotion perception using EEG features.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Personal Identification Based on Brain Networks of EEG Signals.
Int. J. Appl. Math. Comput. Sci., 2018


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