Jing Zhu
Orcid: 0000-0003-3047-287XAffiliations:
- Lanzhou University, Gansu Provincial Key Laboratory of Wearable Computing, China
According to our database1,
Jing Zhu
authored at least 23 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Achieving EEG-based depression recognition using Decentralized-Centralized structure.
Biomed. Signal Process. Control., 2024
2023
ChatGPT for Computational Social Systems: From Conversational Applications to Human-Oriented Operating Systems.
IEEE Trans. Comput. Soc. Syst., April, 2023
Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals.
IEEE Trans. Affect. Comput., 2023
EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMD.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Content-based multiple evidence fusion on EEG and eye movements for mild depression recognition.
Comput. Methods Programs Biomed., 2022
Comput. Biol. Medicine, 2022
Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE Trans. Comput. Soc. Syst., 2021
2020
Attention Bias in Emotional Conflict in Major Depression Disorder: An Eye Tracking Study.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
A functional network study of patients with mild depression based on source location.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
EEG-based mild depression recognition using multi-kernel convolutional and spatial-temporal Feature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Medical Biol. Eng. Comput., 2019
Depression recognition using machine learning methods with different feature generation strategies.
Artif. Intell. Medicine, 2019
Multimodal Mild Depression Recognition Based on EEG-EM Synchronization Acquisition Network.
IEEE Access, 2019
Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression.
IEEE Access, 2019
Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Attentional bias in MDD: ERP components analysis and classification using a dot-probe task.
Comput. Methods Programs Biomed., 2018
Proceedings of the Human Centered Computing - 4th International Conference, 2018
Proceedings of the Brain Informatics - International Conference, 2018
2017
A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering.
Complex., 2017
2016
Proceedings of the Human Centered Computing - Second International Conference, 2016