| Incremental Gradient on the Grassmannian for Online Foreground and Background Separation in Subsampled Video J He, L Balzano, A Szlam IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 | 457 | 2012 |
| Attention-based convolutional neural network for weakly labeled human activities’ recognition with wearable sensors K Wang, J He, L Zhang IEEE Sensors Journal 19 (17), 7598-7604, 2019 | 200 | 2019 |
| 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 | 161 | 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 | 149 | 2021 |
| Dual-regularized matrix factorization with deep neural networks for recommender systems H Wu, Z Zhang, K Yue, B Zhang, J He, L Sun Knowledge-Based Systems 145, 46-58, 2018 | 146 | 2018 |
| Multiscale deep feature learning for human activity recognition using wearable sensors Y Tang, L Zhang, F Min, J He IEEE Transactions on Industrial Electronics 70 (2), 2106-2116, 2022 | 143 | 2022 |
| Online robust subspace tracking from partial information J He, L Balzano, J Lui arXiv preprint arXiv:1109.3827, 2011 | 141 | 2011 |
| 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 | 136 | 2020 |
| Shallow convolutional neural networks for human activity recognition using wearable sensors W Huang, L Zhang, W Gao, F Min, J He IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 103 | 2021 |
| Deep neural networks for sensor-based human activity recognition using selective kernel convolution W Gao, L Zhang, W Huang, F Min, J He, A Song IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 97 | 2021 |
| Human activity recognition using wearable sensors by heterogeneous convolutional neural networks C Han, L Zhang, Y Tang, W Huang, F Min, J He Expert Systems with Applications 198, 116764, 2022 | 92 | 2022 |
| Real-time human activity recognition using conditionally parametrized convolutions on mobile and wearable devices X Cheng, L Zhang, Y Tang, Y Liu, H Wu, J He IEEE Sensors Journal 22 (6), 5889-5901, 2022 | 76 | 2022 |
| Iterative Grassmannian optimization for robust image alignment J He, D Zhang, L Balzano, T Tao Image and Vision Computing 32 (10), 800-813, 2014 | 70 | 2014 |
| Effect of colored noise on logical stochastic resonance in bistable dynamics L Zhang, A Song, J He Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (5 …, 2010 | 69 | 2010 |
| Weakly supervised human activity recognition from wearable sensors by recurrent attention learning J He, Q Zhang, L Wang, L Pei IEEE Sensors Journal 19 (6), 2287-2297, 2018 | 61 | 2018 |
| Unsupervised author disambiguation using Dempster–Shafer theory H Wu, B Li, Y Pei, J He Scientometrics 101, 1955-1972, 2014 | 61 | 2014 |
| Sequential weakly labeled multiactivity localization and recognition on wearable sensors using recurrent attention networks K Wang, J He, L Zhang IEEE Transactions on Human-Machine Systems 51 (4), 355-364, 2021 | 44 | 2021 |
| Long document classification from local word glimpses via recurrent attention learning J He, L Wang, L Liu, J Feng, H Wu IEEE Access 7, 40707-40718, 2019 | 43 | 2019 |
| Using diffusion geometric coordinates for hyperspectral imagery representation J He, L Zhang, Q Wang, Z Li IEEE Geoscience and Remote Sensing Letters 6 (4), 767-771, 2009 | 40 | 2009 |
| Dual-branch interactive networks on multichannel time series for human activity recognition Y Tang, L Zhang, H Wu, J He, A Song IEEE Journal of Biomedical and Health Informatics 26 (10), 5223-5234, 2022 | 37 | 2022 |
Lei ZhangNanjing Normal UniversityVerified email at njnu.edu.cn
