| Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition D Cheng, L Zhang, C Bu, H Wu, A Song Knowledge-Based Systems 276, 110789, 2023 | 16 | 2023 |
| 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, 2023 | 15 | 2023 |
| An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices J Liang, L Zhang, C Bu, D Cheng, H Wu, A Song Expert Systems with Applications 238, 122180, 2024 | 2 | 2024 |
| Revisiting Large-Kernel CNN Design via Structural Re-Parameterization for Sensor-Based Human Activity Recognition M Yao, L Zhang, D Cheng, L Qin, X Liu, Z Fu, H Wu, A Song IEEE Sensors Journal, 2024 | | 2024 |
| MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition D Cheng, L Zhang, L Qin, S Wang, H Wu, A Song IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| Robust Human Activity Recognition via Wearable Sensors Using Dynamic Gaussian Kernel Learning S Wang, Y Sun, Y Sha, G Yang, D Cheng, L Zhang, H Wu, A Song IEEE Sensors Journal, 2024 | | 2024 |
| Learn from Others and Be Yourself in Federated Human Activity Recognition via Attention-based Pairwise Collaborations C Bu, L Zhang, H Cui, D Cheng, H Wu, A Song IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
