Xin Yuan

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Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)Verified email at kaust.edu.sa
David J BradyJ. W. and H. M. Goodman Endowed Chair in Optical Sciences, University of ArizonaVerified email at arizona.edu
Patrick LlullGoogle, Inc.Verified email at google.com
Jianbo YangTencentVerified email at duke.edu
Yunchen PuResearch Scientist, FacebookVerified email at fb.com
Xuejun LiaoAdjunct Assistant ProfessorVerified email at duke.edu
Zhiyuan Zha (查志远)Nanyang Technological UniversityVerified email at ntu.edu.sg
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Ce ZhuFIEEE, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Bihan Wen (文碧汉)Nanyang Assistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Dr. Jiantao ZhouAssociate Professor, Department of Computer and Information Science, University of MacauVerified email at umac.mo
Andrew StevensChief Scientist, OptimalSensingVerified email at optimalsensing.com
Ricardo HenaoDuke UniversityVerified email at duke.edu
Qionghai DaiTsinghua UniversityVerified email at tsinghua.edu.cn
Mu QiaoAssociate Professor, Ningbo University, ChinaVerified email at nbu.edu.cn
Chunyuan LiMicrosoft Research, RedmondVerified email at microsoft.com
Jinli SuoTsinghua UniversityVerified email at tsinghua.edu.cn
Shuo S. PangAssistant Professor of Optics, University of Central FloridaVerified email at creol.ucf.edu
Yangyang SunApplied MaterialsVerified email at amat.com
Kainam Thomas WONG.Verified email at polyu.edu.hk

Xin Yuan

Westlake Univ., Bell Labs, Duke University, Hong Kong Polytechnic University

Verified email at westlake.edu.cn - Homepage

computational imaging image and video processing signal processing machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin NIPS 2016, 2016	628	2016
Coded Aperture Compressive Temporal Imaging P Llull, X Liao, X Yuan, J Yang, D Kittle, L Carin, G Sapiro, DJ Brady Optics Express 21 (9), 10526-10545, 2013	331	2013
Video Compressive Sensing Using Gaussian Mixture Models J Yang, X Yuan, X Liao, P Llull, DJ Brady, G Sapiro, L Carin IEEE Transactions on Image Processing 23 (21), 4863-4878, 2014	177	2014
Computational Snapshot Multispectral Cameras X Cao, T Yue, L Xing, L Stephen, X Yuan, Q Dai, L Carin, BJ David IEEE Signal Processing Magazine 33 (5), 95-108, 2016	173	2016
“Vector cross-product direction-finding” with an electromagnetic vector-sensor of six orthogonally oriented but spatially noncollocating dipoles/loops KT Wong, X Yuan IEEE Transactions on Signal Processing 59 (1), 160-171, 2010	151	2010
Compressive sensing by learning a Gaussian mixture model from measurements J Yang, X Liao, X Yuan, P Llull, DJ Brady, G Sapiro, L Carin IEEE Transactions on Image Processing 24 (1), 106-119, 2014	147	2014
Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing X Yuan 2016 IEEE International Conference on Image Processing, 2015	140	2015
Compressive Hyperspectral Imaging with Side Information X Yuan, TH Tsai, R Zhu, P Llull, D Brady, L Carin IEEE J. Selected Topics Signal Processing, 2015	139	2015
Rank Minimization for Snapshot Compressive Imaging Y Liu, X Yuan, J Suo, DJ Brady, Q Dai IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018	128	2018
Low-Cost Compressive Sensing for Color Video and Depth X Yuan, P Llull, X Liao, J Yang, G Sapiro, DJ Brady, L Carin IEEE Computer Vision and Pattern Recognition (CVPR), 2014	101	2014
Spectral-Temporal Compressive Imaging T Tsai, P Llull, X Yuan, L Carin, D Brady Optics Letters, 2015	89	2015
λ-net: Reconstruct Hyperspectral Images from a Snapshot Measurement X Miao, X Yuan, Y Pu, V Athitsos International Conference on Computer Vision (ICCV), 4059-4069, 2019	81*	2019
l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement X Miao, X Yuan, Y Pu, V Athitsos Proceedings of the IEEE International Conference on Computer Vision, 4059-4069, 2019	81	2019
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging X Yuan, Y Liu, J Suo, Q Dai CVPR 2020, 2020	75	2020
Various compositions to form a triad of collocated dipoles/loops, for direction finding and polarization estimation X Yuan, KT Wong, Z Xu, K Agrawal IEEE sensors Journal 12 (6), 1763-1771, 2011	73	2011
Estimating the DOA and the polarization of a polynomial-phase signal using a single polarized vector-sensor X Yuan IEEE Transactions on Signal Processing 60 (3), 1270-1282, 2011	71	2011
Snapshot compressive imaging: Theory, algorithms, and applications X Yuan, DJ Brady, AK Katsaggelos IEEE Signal Processing Magazine 38 (2), 65-88, 2021	69	2021
Deep Tensor ADMM-Net for Snapshot Compressive Imaging J Ma, X Liu, Z Shou, X Yuan International Conference on Computer Vision (ICCV), 10223-10232, 2019	68	2019
Deep learning for video compressive sensing M Qiao, Z Meng, J Ma, X Yuan Apl Photonics 5 (3), 030801, 2020	67	2020
An integrated transcriptome and expressed variant analysis of sepsis survival and death EL Tsalik, RJ Langley, DL Dinwiddie, NA Miller, B Yoo, ... Genome medicine 6 (11), 1-15, 2014	63	2014

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