| Deep convolutional networks with tunable speed–accuracy tradeoff for human activity recognition using wearables X Wang, L Zhang, W Huang, S Wang, H Wu, J He, A Song IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2021 | 28 | 2021 |
| Protohar: Prototype guided personalized federated learning for human activity recognition D Cheng, L Zhang, C Bu, X Wang, H Wu, A Song IEEE Journal of Biomedical and Health Informatics 27 (8), 3900-3911, 2023 | 19 | 2023 |
| Block-wise training residual networks on multi-channel time series for human activity recognition Q Teng, L Zhang, Y Tang, S Song, X Wang, J He IEEE Sensors Journal 21 (16), 18063-18074, 2021 | 14 | 2021 |
| An Efficient Diverse-Branch Convolution Scheme for Sensor-Based Human Activity Recognition C Han, L Zhang, S Xu, X Wang, H Wu, A Song IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2023 | 4 | 2023 |
| Patchhar: A mlp-like architecture for efficient activity recognition using wearables S Wang, L Zhang, X Wang, W Huang, H Wu, A Song IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 | 2 | 2024 |
