Yi Guo
Orcid: 0000-0002-2614-6118Affiliations:
- Jinan University, Second Clinical Medical College, Department of Neurology, Shenzhen, China
- First Affiliated Hospital of Southern University of Science and Technology, Neurological Disease Research Institute, Shenzhen Bay Laboratory, Shenzhen, China
- University of Greifswald, Germany (PhD 1997)
According to our database1,
Yi Guo
authored at least 28 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Comput. Soc. Syst., February, 2024
MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition.
IEEE Trans. Affect. Comput., 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Mob. Networks Appl., August, 2023
Disambiguation of Cognitive Impairment Diagnosis with EEG-Based Dual-Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Multim., 2022
2021
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System.
IEEE Trans. Intell. Transp. Syst., 2021
Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach.
IEEE J. Sel. Areas Commun., 2021
Edge Learning for Internet of Medical Things and Its COVID-19 Applications: A Distributed 3C Framework.
IEEE Internet Things Mag., 2021
Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition.
IEEE Internet Things J., 2021
Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework.
IEEE Internet Things J., 2021
2020
Q -Learning-Based High Credibility and Stability Routing Algorithm for Internet of Medical Things.
Wirel. Commun. Mob. Comput., 2020
When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data.
IEEE Trans. Ind. Informatics, 2020
Removing Muscle Artifacts From EEG Data via Underdetermined Joint Blind Source Separation: A Simulation Study.
IEEE Trans. on Circuits and Systems, 2020
Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things.
IEEE Netw., 2020
Inf. Sci., 2020
CoRR, 2020
Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications.
IEEE Access, 2020
Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application.
IEEE Access, 2020
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks.
IEEE Access, 2020
Beneficial Effects of Cerebellar Low Frequency Repetitive Transcranial Magnetic Stimulation on the Patient with Meige's syndrome.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
2019
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction.
CoRR, 2019
Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality.
IEEE Access, 2019
IEEE Access, 2019
2018
IEEE Internet Things J., 2018
IEEE Commun. Mag., 2018