| Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors J He, Q Liu, AG Christodoulou, C Ma, F Lam, ZP Liang IEEE transactions on medical imaging 35 (9), 2119-2129, 2016 | 162 | 2016 |
| Compressive data gathering with low-rank constraints for wireless sensor networks J He, G Sun, Z Li, Y Zhang Signal Processing 131, 73-76, 2017 | 30 | 2017 |
| Data recovery in wireless sensor networks with joint matrix completion and sparsity constraints J He, G Sun, Y Zhang, Z Wang IEEE Communications Letters 19 (12), 2230-2233, 2015 | 29 | 2015 |
| Truncated nuclear norm minimization based group sparse representation for image restoration T Geng, G Sun, Y Xu, J He SIAM Journal on Imaging Sciences 11 (3), 1878-1897, 2018 | 26 | 2018 |
| Surface plasmon resonance sensor based on double-sided polished microstructured optical fiber with hollow core D Hou, X Ji, N Luan, L Song, Y Hu, M Luo, J He, Z Bai, Z Bai, J Liu IEEE Photonics Journal 13 (4), 1-8, 2021 | 17 | 2021 |
| Multi-attribute data recovery in wireless sensor networks with joint sparsity and low-rank constraints based on tensor completion J He, Y Zhou, G Sun, T Geng IEEE Access 7, 135220-135230, 2019 | 14 | 2019 |
| Low-energy data collection in wireless sensor networks based on matrix completion Y Xu, G Sun, T Geng, J He Sensors 19 (4), 945, 2019 | 13 | 2019 |
| Missing and Corrupted Data Recovery in Wireless Sensor Networks Based on Weighted Robust Principal Component Analysis J He, Y Li, X Zhang, J Li Sensors 22 (5), 1992, 2022 | 10 | 2022 |
| Data recovery in heterogeneous wireless sensor networks based on low-rank tensors J He, G Sun, Y Zhang, T Geng 2016 IEEE symposium on computers and communication (ISCC), 616-620, 2016 | 10 | 2016 |
| A student information management system based on fingerprint identification and data security transmission P Yang, G Sun, J He, P Zhou, J Liu Journal of Electrical and Computer Engineering 2017, 2017 | 9 | 2017 |
| Recovery of corrupted data in wireless sensor networks using tensor robust principal component analysis X Zhang, J He, Y Li, Y Chi, Y Zhou IEEE Communications Letters 25 (10), 3389-3393, 2021 | 8 | 2021 |
| Compressive multi-attribute data gathering using hankel matrix in wireless sensor networks J He, Y Zhou, G Sun, Y Xu IEEE Communications Letters 23 (12), 2417-2421, 2019 | 8 | 2019 |
| Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks J He, X Zheng, P Gao, Y Zhou Signal Processing 190, 108339, 2022 | 6 | 2022 |
| Prediction of MoRFs based on sequence properties and convolutional neural networks H He, Y Zhou, Y Chi, J He BioData Mining 14, 1-11, 2021 | 6 | 2021 |
| Denoising 3D magnetic resonance images based on weighted tensor nuclear norm minimization using balanced nonlocal patch tensors J He, P Gao, X Zheng, Y Zhou, H He Biomedical Signal Processing and Control 74, 103524, 2022 | 5 | 2022 |
| Pyramid residual neural network with attention for seismic data denoising C Yang, Y Zhou, H He, J He, Y Chi 2021 International Conference on Computer Engineering and Artificial …, 2021 | 5 | 2021 |
| A comprehensive hand gesture dataset J Ma, T Li, J He 2020 International Conference on Computing and Data Science (CDS), 328-333, 2020 | 4 | 2020 |
| A subspace approach to sparse sampling based data gathering in wireless sensor networks J He, X Zhang, Y Zhou, M Maibvisira Sensors 20 (4), 985, 2020 | 4 | 2020 |
| Real-time data recovery in wireless sensor networks using spatiotemporal correlation based on sparse representation J He, Y Zhou Wireless Communications and Mobile Computing 2019, 1-7, 2019 | 4 | 2019 |
| Selection order framework algorithm for compressed sensing F Wang, G Sun, Z Li, J He Signal Processing 138, 121-128, 2017 | 4 | 2017 |
