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Xing Lin
Xing Lin
Assistant Professor, Department of Electronic Engineering, Tsinghua University
Bestätigte E-Mail-Adresse bei tsinghua.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
All-optical machine learning using diffractive deep neural networks
X Lin, Y Rivenson, NT Yardimci, M Veli, Y Luo, M Jarrahi, A Ozcan
Science 361 (6406), 1004-1008, 2018
18572018
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
T Zhou, X Lin, J Wu, Y Chen, H Xie, Y Li, J Fan, H Wu, L Fang, Q Dai
Nature Photonics 15 (5), 367–373, 2021
5022021
Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery
Y Wu, Y Rivenson, Y Zhang, Z Wei, H Günaydin, X Lin, A Ozcan
Optica 5 (6), 704-710, 2018
3572018
Spatial-spectral encoded compressive hyperspectral imaging
X Lin, Y Liu, J Wu, Q Dai
ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014
3172014
Fourier-space diffractive deep neural network
T Yan, J Wu, T Zhou, H Xie, F Xu, J Fan, L Fang, X Lin, Q Dai
Physical review letters 123 (2), 023901, 2019
3052019
Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world
X Cao, T Yue, X Lin, S Lin, X Yuan, Q Dai, L Carin, D Brady
IEEE Signal Processing Magazine 33 (5), 95-108, 2016
2712016
Dual-coded compressive hyperspectral imaging
X Lin, G Wetzstein, Y Liu, Q Dai
Optics letters 39 (7), 2044-2047, 2014
1732014
Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale
J Wu, Z Lu, D Jiang, Y Guo, H Qiao, Y Zhang, T Zhu, Y Cai, X Zhang, ...
Cell 184 (12), 3318-3332. e17, 2021
1602021
In situ optical backpropagation training of diffractive optical neural networks
T Zhou, L Fang, T Yan, J Wu, Y Li, J Fan, H Wu, X Lin, Q Dai
Photonics Research 8 (6), 940-953, 2020
1572020
Camera array based light field microscopy
X Lin, J Wu, G Zheng, Q Dai
Biomedical optics express 6 (9), 3179-3189, 2015
1492015
Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising
X Li, G Zhang, J Wu, Y Zhang, Z Zhao, X Lin, H Qiao, H Xie, H Wang, ...
Nature methods 18 (11), 1395-1400, 2021
1062021
Unsupervised content-preserving transformation for optical microscopy
X Li, G Zhang, H Qiao, F Bao, Y Deng, J Wu, Y He, J Yun, X Lin, H Xie, ...
Light: Science & Applications 10 (1), 44, 2021
922021
Label-free bioaerosol sensing using mobile microscopy and deep learning
Y Wu, A Calis, Y Luo, C Chen, M Lutton, Y Rivenson, X Lin, HC Koydemir, ...
ACS Photonics 5 (11), 4617-4627, 2018
802018
Analog optical computing for artificial intelligence
J Wu, X Lin, Y Guo, J Liu, L Fang, S Jiao, Q Dai
Engineering 10, 133-145, 2022
762022
Coded focal stack photography
X Lin, J Suo, G Wetzstein, Q Dai, R Raskar
IEEE International Conference on Computational Photography (ICCP), 1-9, 2013
732013
Residual D2NN: training diffractive deep neural networks via learnable light shortcuts
H Dou, Y Deng, T Yan, H Wu, X Lin, Q Dai
Optics Letters 45 (10), 2688-2691, 2020
712020
Snapshot hyperspectral volumetric microscopy
J Wu, B Xiong, X Lin, J He, J Suo, Q Dai
Scientific reports 6 (1), 1-10, 2016
662016
All-optical graph representation learning using integrated diffractive photonic computing units
T Yan, R Yang, Z Zheng, X Lin, H Xiong, Q Dai
Science Advances 8 (24), abn7630, 2022
592022
Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy
Y Zhang, Z Lu, J Wu, X Lin, D Jiang, Y Cai, J Xie, Y Wang, T Zhu, X Ji, ...
Nature communications 12 (1), 6391, 2021
512021
Transparent object reconstruction via coded transport of intensity
C Ma, X Lin, J Suo, Q Dai, G Wetzstein
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
442014
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