| The layer-wise training convolutional neural networks using local loss for sensor-based human activity recognition Q Teng, K Wang, L Zhang, J He IEEE Sensors Journal 20 (13), 7265-7274, 2020 | 136 | 2020 |
| DanHAR: Dual attention network for multimodal human activity recognition using wearable sensors W Gao, L Zhang, Q Teng, J He, H Wu Applied Soft Computing 111, 107728, 2021 | 118 | 2021 |
| Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors Y Tang, Q Teng, L Zhang, F Min, J He IEEE Sensors Journal 21 (1), 581-592, 2020 | 109 | 2020 |
| Triple cross-domain attention on human activity recognition using wearable sensors Y Tang, L Zhang, Q Teng, F Min, A Song IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2022 | 60 | 2022 |
| Data driven nonlinear dynamical systems identification using multi-step CLDNN Q Teng, L Zhang AIP Advances 9 (8), 2019 | 26 | 2019 |
| The convolutional neural networks training with channel-selectivity for human activity recognition based on sensors W Huang, L Zhang, Q Teng, C Song, J He IEEE Journal of Biomedical and Health Informatics 25 (10), 3834-3843, 2021 | 25 | 2021 |
| Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors Y Tang, Q Teng, L Zhang, F Min, J He arXiv preprint arXiv:2005.03948, 2020 | 14 | 2020 |
| 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 | 12 | 2021 |
| RepHAR: Decoupling networks with accuracy-speed tradeoff for sensor-based human activity recognition Q Teng, Y Tang, G Hu IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2023 | 4 | 2023 |
| Data driven governing equations approximations using attention based multistep neural networks Q Teng, J Wang, Z Ding, L Zhang, Z Wang AIP Advances 10 (6), 2020 | 1 | 2020 |
| Large Receptive Field Attention: An Innovation in Decomposing Large-Kernel Convolution for Sensor-Based Activity Recognition Q Teng, Y Tang, G Hu IEEE Sensors Journal, 2024 | | 2024 |
