Zidong Yu
Orcid: 0000-0003-1666-4744
According to our database1,
Zidong Yu
authored at least 17 papers
between 2015 and 2026.
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Bibliography
2026
Lower limb Locomotion Mode Recognition based on sEMG: A pilot study in healthy individuals and stroke patients.
Biomed. Signal Process. Control., 2026
2025
CoRR, April, 2025
CoRR, February, 2025
Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning.
CoRR, January, 2025
Deciphering Urban Soundscapes: A study of sensory experiences at Hong Kong Victoria harbour waterfronts using social media.
Comput. Environ. Urban Syst., 2025
Temporal-constrained parallel graph neural networks for recognizing motion patterns and gait phases in class-imbalanced scenarios.
Eng. Appl. Artif. Intell., 2025
2024
Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition.
Eng. Appl. Artif. Intell., 2024
Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition.
Eng. Appl. Artif. Intell., 2024
Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition.
Biomed. Signal Process. Control., 2024
Decoding of lower limb continuous movement intention from multi-channel sEMG and design of adaptive exoskeleton controller.
Biomed. Signal Process. Control., 2024
MEFP-Net: A Dual-Encoding Multi-Scale Edge Feature Perception Network for Skin Lesion Segmentation.
IEEE Access, 2024
Parallel Graph Neural Networks: Class-Imbalanced Gait Phase Recognition via Adaptive Fusion of Multimodal sEMG and Kinematic Data.
Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 2024
End-to-End Hand Gesture Recognition Based on Dynamic Graph Topology Generating Mechanism and Weighted Graph Isomorphism Network.
Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 2024
Exploration of Adaptive sEMG Denoising and Deep Learning Paradigms and Their Application in Lower Limb Motion Recognition.
Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 2024
2023
An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet.
Expert Syst. Appl., October, 2023
SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery.
Knowl. Based Syst., 2023
2015
WormGUIDES: an interactive single cell developmental atlas and tool for collaborative multidimensional data exploration.
BMC Bioinform., 2015