Li Zhang
Orcid: 0000-0003-1641-7831Affiliations:
- Shenzhen University, School of Biomedical Engineering, Health Science Center, China
- University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong (PhD 2015)
According to our database1,
Li Zhang
authored at least 41 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data.
Sensors, June, 2024
PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals.
IEEE Trans. Affect. Comput., 2024
Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput., 2024
CoRR, 2024
2023
Comput. Methods Programs Biomed., May, 2023
Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.
NeuroImage, April, 2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition.
CoRR, 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition.
CoRR, 2023
2022
M<sup>3</sup>CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge.
NeuroImage, 2022
A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling.
NeuroImage, 2022
Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations.
Neurocomputing, 2022
Neurocomputing, 2022
A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition.
CoRR, 2022
2021
Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses.
NeuroImage, 2021
Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI.
Neurocomputing, 2021
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.
CoRR, 2021
Neural dynamics of closed-loop alpha wave modulation via phase-locked visual feedback.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Cross-Sessions and Cross-Paradigms Analysis for the Problem of Brain-Computer Interface Inefficiency<sup>*</sup>.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021
Proceedings of the ICBSP 2021: 6th International Conference on Biomedical Imaging, Signal Processing, Xiamen, China, October 29, 2021
2020
A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI.
IEEE Trans. Fuzzy Syst., 2020
Low-density surface electromyographic patterns under electrode shift: Characterization and NMF-based classification.
Biomed. Signal Process. Control., 2020
The Real Time EEG Phase Locked Feedback Control for Alpha Amplitude and Frequency Regulation: An OpenBCI Implementation.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG Potentials.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A Multi-Laplacian Prior and Augmented Lagrangian Approach to the Exploratory Analysis of Time-Varying Gene and Transcriptional Regulatory Networks for Gene Microarray Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
An Augmented Lagrangian Approach for Distributed Robust Estimation in Large-Scale Systems.
IEEE Syst. J., 2019
A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation.
NeuroImage, 2019
Estimation of Task-Evoked Dynamic Effective Connectivity from fMRI in A Visual Target Detection Oddball Experiment.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Sliding Window Nonnegative Matrix Factorization (SW-NMF) for Robustness Low-Density Myoelectric Signals Decoding Against Electrodes Shift.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
2018
Superpixel-based color-depth restoration and dynamic environment modeling for Kinect-assisted image-based rendering systems.
Vis. Comput., 2018
The Time-Varying Network Patterns in Motor Imagery Revealed by Adaptive Directed Transfer Function Analysis for fMRI.
IEEE Access, 2018
2017
Dynamic gene regulatory network analysis using Saccharomyces cerevisiae large-scale time-course microarray data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Dynamic gene and transcriptional regulatory networks inferring with multi-Laplacian prior from time-course gene microarray data.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
2016
A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
A variable forgetting factor QRD-based RLS algorithm with bias compensation for system identification with input noise.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Myocardial infarction detection and classification - A new multi-scale deep feature learning approach.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016
2015
PhD thesis, 2015
A Maximum A Posteriori Probability and Time-Varying Approach for Inferring Gene Regulatory Networks from Time Course Gene Microarray Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
A novel algorithm for time-varying gene regulatory networks identification with biological state change detection.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Large-scale dynamic gene regulatory networks analysis for time course DNA microarray data from C. elegans, preliminary results and findings.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
Reconstruction of gene regulatory networks from short time series high throughput data: Review and new findings.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014