Changhe Zhang

According to our database, Changhe Zhang authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition.

Changhe Zhang, Xiaoyun Wang, Zidong Yu, Bingjin Wang, Chao Deng

Eng. Appl. Artif. Intell., 2024

Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition.

Zidong Yu, Changhe Zhang, Xiaoyun Wang, Deng Chao, Yuan Liu, Zeyu Yu

Eng. Appl. Artif. Intell., 2024

Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition.

Changhe Zhang, Zidong Yu, Xiaoyun Wang, Ze-Jian Chen, Chao Deng, Sheng Quan Xie

Biomed. Signal Process. Control., 2024

Decoding of lower limb continuous movement intention from multi-channel sEMG and design of adaptive exoskeleton controller.

Xiaoyun Wang, Changhe Zhang, Zidong Yu, Chao Deng

Biomed. Signal Process. Control., 2024

Parallel Graph Neural Networks: Class-Imbalanced Gait Phase Recognition via Adaptive Fusion of Multimodal sEMG and Kinematic Data.

Changhe Zhang, Xiaoyun Wang, Zidong Yu, Chao Deng

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.

Zidong Yu, Changhe Zhang, Xiaoyun Wang, Chao Deng

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.

Xiaoyun Wang, Changhe Zhang, Zidong Yu, Chao Deng

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.

Changhe Zhang, Yangan Li, Zidong Yu, Xiaolin Huang, Jiang Xu, Chao Deng

Expert Syst. Appl., October, 2023

Exploring Focus and Depth-Induced Saliency Detection for Light Field.

Yani Zhang, Fen Chen, Zongju Peng, Wenhui Zou, Changhe Zhang

Entropy, September, 2023

SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery.

Zidong Yu, Changhe Zhang, Jie Liu, Chao Deng

Knowl. Based Syst., 2023

2021

Colon Polyp Detection and Segmentation Based on Improved MRCNN.

Xiaoyong Yang, Qianxing Wei, Changhe Zhang, Kaibo Zhou, Li Kong, Weiwei Jiang

IEEE Trans. Instrum. Meas., 2021