Xing Lin

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	Visi	Nuo 2020
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Qionghai DaiTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Jiamin WuAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Aydogan OzcanChancellor's Professor at UCLA & HHMI ProfessorPatvirtintas el. paštas ucla.edu
Yair RivensonPictor LabsPatvirtintas el. paštas pictorlabs.ai
Lu FANGTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Jinli SuoTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Yichen WuImaging scientist at Apple; Ph.D. at UCLAPatvirtintas el. paštas apple.com
Huaqiang WuTsinghua University, Cornell UniversityPatvirtintas el. paštas tsinghua.edu.cn
Nezih Tolga YardimciChief Executive Officer, Lookin, Inc.Patvirtintas el. paštas lookininc.com
Mona JarrahiProfessor at the University of California Los AngelesPatvirtintas el. paštas ucla.edu
Yebin LiuProfessor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Gordon WetzsteinStanford UniversityPatvirtintas el. paštas stanford.edu
Feng XuAssociate Professor of Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Xun CaoNanjing UniversityPatvirtintas el. paštas nju.edu.cn
Peng XiPeking UniversityPatvirtintas el. paštas pku.edu.cn
Ramesh RaskarAssociate Professor, MIT Media LabPatvirtintas el. paštas mit.edu
Zoltán GöröcsUCLAPatvirtintas el. paštas g.ucla.edu
David J BradyJ. W. and H. M. Goodman Endowed Chair in Optical Sciences, University of ArizonaPatvirtintas el. paštas arizona.edu
Xin YuanWestlake University, Bell Labs, Duke University, Hong Kong Polytechnic UniversityPatvirtintas el. paštas westlake.edu.cn
Stephen LinMicrosoft Research AsiaPatvirtintas el. paštas microsoft.com

Stebėti

Xing Lin

Assistant Professor, Department of Electronic Engineering, Tsinghua University

Patvirtintas el. paštas tsinghua.edu.cn - Pagrindinis puslapis

Photonic Computing Optical Computing Neuromorphic Photonics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	2104	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	579	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	384	2018
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	343	2019
Spatial-spectral encoded compressive hyperspectral imaging X Lin, Y Liu, J Wu, Q Dai ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014	334	2014
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	285	2016
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	188	2020
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	184	2021
Dual-coded compressive hyperspectral imaging X Lin, G Wetzstein, Y Liu, Q Dai Optics letters 39 (7), 2044-2047, 2014	176	2014
Camera array based light field microscopy X Lin, J Wu, G Zheng, Q Dai Biomedical optics express 6 (9), 3179-3189, 2015	166	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	127	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	111	2021
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	99	2022
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	83	2018
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	77	2020
Coded focal stack photography X Lin, J Suo, G Wetzstein, Q Dai, R Raskar IEEE International Conference on Computational Photography (ICCP), 1-9, 2013	72	2013
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	70	2022
Snapshot hyperspectral volumetric microscopy J Wu, B Xiong, X Lin, J He, J Suo, Q Dai Scientific reports 6 (1), 24624, 2016	67	2016
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	59	2021
Optical multi-task learning using multi-wavelength diffractive deep neural networks Z Duan, H Chen, X Lin Nanophotonics, 2023	46	2023

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