Xing Lin

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i10-index	33	29

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Qionghai DaiTsinghua UniversityVerified email at tsinghua.edu.cn
Jiamin WuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Aydogan OzcanChancellor's Professor at UCLA & HHMI ProfessorVerified email at ucla.edu
Lu FANGTsinghua UniversityVerified email at tsinghua.edu.cn
Yair RivensonPictor LabsVerified email at pictorlabs.ai
Jinli SuoTsinghua UniversityVerified email at tsinghua.edu.cn
Yichen WuImaging scientist at Apple; Ph.D. at UCLAVerified email at apple.com
Huaqiang WuTsinghua University, Cornell UniversityVerified email at tsinghua.edu.cn
Nezih Tolga YardimciChief Executive Officer, Lookin, Inc.Verified email at lookininc.com
Mona JarrahiProfessor at the University of California Los AngelesVerified email at ucla.edu
Yebin LiuProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Gordon WetzsteinStanford UniversityVerified email at stanford.edu
Feng XuAssociate Professor of Tsinghua UniversityVerified email at tsinghua.edu.cn
Xun CaoNanjing UniversityVerified email at nju.edu.cn
Ramesh RaskarAssociate Professor, MIT Media LabVerified email at mit.edu
Peng XiPeking UniversityVerified email at pku.edu.cn
Zoltán GöröcsUCLAVerified email at g.ucla.edu
David J BradyJ. W. and H. M. Goodman Endowed Chair in Optical Sciences, University of ArizonaVerified email at arizona.edu
Xin YuanWestlake University, Bell Labs, Duke University, Hong Kong Polytechnic UniversityVerified email at westlake.edu.cn
Stephen LinMicrosoft Research AsiaVerified email at microsoft.com

Xing Lin

Assistant Professor, Department of Electronic Engineering, Tsinghua University

Verified email at tsinghua.edu.cn - Homepage

Photonic Computing Optical Computing Neuromorphic Photonics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1857	2018
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	502	2021
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	357	2018
Spatial-spectral encoded compressive hyperspectral imaging X Lin, Y Liu, J Wu, Q Dai ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014	317	2014
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	305	2019
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	271	2016
Dual-coded compressive hyperspectral imaging X Lin, G Wetzstein, Y Liu, Q Dai Optics letters 39 (7), 2044-2047, 2014	173	2014
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	162	2021
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	157	2020
Camera array based light field microscopy X Lin, J Wu, G Zheng, Q Dai Biomedical optics express 6 (9), 3179-3189, 2015	149	2015
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	107	2021
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	93	2021
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	80	2018
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	78	2022
Coded focal stack photography X Lin, J Suo, G Wetzstein, Q Dai, R Raskar IEEE International Conference on Computational Photography (ICCP), 1-9, 2013	73	2013
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	71	2020
Snapshot hyperspectral volumetric microscopy J Wu, B Xiong, X Lin, J He, J Suo, Q Dai Scientific reports 6 (1), 1-10, 2016	66	2016
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	60	2022
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	51	2021
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	44	2014

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