Shenghuan Miao

According to our database, Shenghuan Miao authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition.

Shenghuan Miao, Ling Chen, Rong Hu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

A multi-graph convolutional network based wearable human activity recognition method using multi-sensors.

Ling Chen, Yingsong Luo, Liangying Peng, Rong Hu, Yi Zhang, Shenghuan Miao

Appl. Intell., December, 2023

SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition.

Ling Chen, Yi Zhang, Shenghuan Miao, Sirou Zhu, Rong Hu, Liangying Peng, Mingqi Lv

IEEE Trans. Mob. Comput., September, 2023

SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition.

Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition.

Shenghuan Miao, Ling Chen, Rong Hu, Yingsong Luo

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

2021

FEM: Feature extraction and mapping for radio modulation classification.

Jinyin Chen, Hui Cui, Shenghuan Miao, Changan Wu, Haibin Zheng, Shilian Zheng, Liang Huang, Qi Xuan

Phys. Commun., 2021

2020

Feature Explainable Deep Classification for Signal Modulation Recognition.

Jinyin Chen, Shenghuan Miao, Haibin Zheng, Shilian Zheng

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020