| Deep learning for video compressive sensing M Qiao, Z Meng, J Ma, X Yuan APL Photonics 5 (3), 030801, 2020 | 142 | 2020 |
| Deep plug-and-play priors for spectral snapshot compressive imaging S Zheng, Y Liu, Z Meng, M Qiao, Z Tong, X Yang, S Han, X Yuan Photonics Research 9 (2), B18-B29, 2021 | 94 | 2021 |
| Snapshot multispectral endomicroscopy Z Meng, M Qiao, J Ma, Z Yu, K Xu, X Yuan Optics Letters 45 (14), 3897-3900, 2020 | 71 | 2020 |
| Snapshot spatial–temporal compressive imaging M Qiao, X Liu, X Yuan Optics Letters 45 (7), 1659-1662, 2020 | 57 | 2020 |
| Snapshot temporal compressive microscopy using an iterative algorithm with untrained neural networks M Qiao, X Liu, X Yuan Optics Letters 46 (8), 1888-1891, 2021 | 32 | 2021 |
| Bidirectional image transmission through physically thick scattering media using digital optical phase conjugation M Qiao, H Liu, S Han Optics express 26 (25), 33066-33079, 2018 | 13 | 2018 |
| Non-invasive three-dimension control of light between turbid layers using a surface quasi-point light source for precorrection M Qiao, H Liu, G Pang, S Han Scientific reports 7 (1), 1-8, 2017 | 13 | 2017 |
| Snapshot coherence tomographic imaging M Qiao, Y Sun, J Ma, Z Meng, X Liu, X Yuan IEEE Transactions on Computational Imaging 7, 624-637, 2021 | 12 | 2021 |
| Optical phase conjugation of diffused light with infinite gain by using gated two-color photorefractive crystal LiNbO3:Cu:Ce G Pang, H Liu, P Hou, M Qiao, S Han Applied optics 57 (10), 2675-2678, 2018 | 10 | 2018 |
| Coded aperture compressive temporal imaging using complementary codes and untrained neural networks for high-quality reconstruction M Qiao, X Yuan Optics Letters 48 (1), 109-112, 2023 | 7 | 2023 |
| Realistic phase screen model for forward multiple-scattering media M Qiao, X Yuan Optics Letters 45 (4), 1031-1034, 2020 | 6 | 2020 |
| Snapshot optical coherence tomography M Qiao, Y Sun, X Liu, X Yuan, P Wilford Digital Holography and Three-Dimensional Imaging, W4B. 3, 2019 | 6 | 2019 |
| Snapshot Interferometric 3D Imaging by Compressive Sensing and Deep Learning M Qiao, Y Sun, J Ma, Z Meng, X Liu, X Yuan arXiv preprint arXiv:2004.02633, 2020 | 5 | 2020 |
| Apparatus, systems and methods for detecting light X Yuan, P Wilford, M Qiao, X Liu US Patent App. 17/605,946, 2022 | 1 | 2022 |
| Apparatus, systems and methods for compressive sensing X Yuan, X Liu, M Qiao US Patent App. 17/345,098, 2021 | 1 | 2021 |
| Apparatus, systems, and methods for detecting light X Yuan, M Qiao, X Liu US Patent App. 17/358,711, 2022 | | 2022 |
| Apparatus, systems and methods for compressive sensing X Yuan, X Liu, M Qiao US Patent App. 17/356,781, 2021 | | 2021 |
Xin YuanWestlake University, Bell Labs, Duke University, Hong Kong Polytechnic UniversityVerified email at westlake.edu.cn
