David Hong

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Laura BalzanoUniversity of Michigan, Ann ArborAdresse e-mail validée de umich.edu
Jeff FesslerProfessor of Electrical Engineering and Computer Science, Univ. of MichiganAdresse e-mail validée de umich.edu
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaAdresse e-mail validée de upenn.edu
Tamara G. KoldaMathSci.ai (independent consulting)Adresse e-mail validée de mathsci.ai
Jed DuerschSandia National LabsAdresse e-mail validée de sandia.gov
Brian ClearyAssistant Professor, Boston UniversityAdresse e-mail validée de bu.edu
Alex RobeyPostdoc, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Hamed HassaniUniversity of Pennsylvania (EE, CS, Stat)Adresse e-mail validée de seas.upenn.edu
James A HayResearch Fellow, University of OxfordAdresse e-mail validée de ndm.ox.ac.uk
Fan YangTsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
John LiporPortland State UniversityAdresse e-mail validée de pdx.edu
Yan Shuo TanAssistant Professor, National University of SingaporeAdresse e-mail validée de nus.edu.sg
Rounak DeyDepartment of Biostatistics, Harvard UniversityAdresse e-mail validée de hsph.harvard.edu
Xihong LinHarvard UniversityAdresse e-mail validée de hsph.harvard.edu
Srdjan LukicNorth Carolina State UniversityAdresse e-mail validée de ncsu.edu
Sanzhong BaiNorth Carolina State UniversityAdresse e-mail validée de ncsu.edu
Yue ShengUniversity of PennsylvaniaAdresse e-mail validée de sas.upenn.edu
Il Yong ChunAssistant Professor of EEE, AI, ECE, ADE, SCE, DCE, & CNIR, Sungkyunkwan UniversityAdresse e-mail validée de skku.edu
Ben AdcockProfessor, Simon Fraser UniversityAdresse e-mail validée de sfu.ca
Kyle GilmanUniversity of MichiganAdresse e-mail validée de umich.edu

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David Hong

Assistant Professor, Department of Electrical and Computer Engineering, University of Delaware

Adresse e-mail validée de udel.edu - Page d'accueil

Statistical Signal Processing Big Data Algorithms


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Generalized canonical polyadic tensor decomposition D Hong, TG Kolda, JA Duersch SIAM Review 62 (1), 133-163, 2020	181	2020
Provable tradeoffs in adversarially robust classification E Dobriban, H Hassani, D Hong, A Robey Accepted to IEEE Transactions on Information Theory, To appear, 2022	73	2022
Asymptotic performance of PCA for high-dimensional heteroscedastic data D Hong, L Balzano, JA Fessler Journal of multivariate analysis 167, 435-452, 2018	67	2018
Stochastic gradients for large-scale tensor decomposition TG Kolda, D Hong SIAM Journal on Mathematics of Data Science 2 (4), 1066-1095, 2020	66	2020
Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings B Cleary, JA Hay, B Blumenstiel, M Harden, M Cipicchio, J Bezney, ... Science translational medicine 13 (589), eabf1568, 2021	65	2021
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data D Hong, F Yang, JA Fessler, L Balzano SIAM Journal on Mathematics of Data Science 5 (1), 222-250, 2023	37	2023
Subspace clustering using ensembles of K-subspaces J Lipor, D Hong, YS Tan, L Balzano Information and Inference: A Journal of the IMA 10 (1), 73-107, 2021	32	2021
Closed-Form Expressions for Minimizing Total Harmonic Distortion in Three-Phase Multilevel Converters D Hong, S Bai, SM Lukic IEEE Transactions on Power Electronics 29 (10), 5229-5241, 2014	24	2014
Selecting the number of components in PCA via random signflips D Hong, Y Sheng, E Dobriban arXiv preprint arXiv:2012.02985, 2020	20	2020
HePPCAT: Probabilistic PCA for data with Heteroscedastic noise D Hong, K Gilman, L Balzano, JA Fessler IEEE Transactions on Signal Processing 69, 4819-4834, 2021	18	2021
Convolutional Analysis Operator Learning: Dependence on Training Data IY Chun, D Hong, B Adcock, JA Fessler IEEE Signal Processing Letters 26 (8), 1137-1141, 2019	18	2019
Towards a theoretical analysis of PCA for heteroscedastic data D Hong, L Balzano, JA Fessler 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016	15	2016
Group testing via hypergraph factorization applied to COVID-19 D Hong, R Dey, X Lin, B Cleary, E Dobriban Nature communications 13 (1), 1837, 2022	13*	2022
Baseline estimation of commercial building HVAC fan power using tensor completion S Lei, D Hong, JL Mathieu, IA Hiskens Electric Power Systems Research 189, 106624, 2020	6	2020
Enhanced online subspace estimation via adaptive sensing G Ongie, D Hong, D Zhang, L Balzano 2017 51st Asilomar Conference on Signals, Systems, and Computers, 993-997, 2017	6	2017
Learning Dictionary-Based Unions of Subspaces for Image Denoising D Hong, RP Malinas, JA Fessler, L Balzano 2018 26th European Signal Processing Conference (EUSIPCO), 1597-1601, 2018	4	2018
Generic Properties of Koopman Eigenfunctions for Stable Fixed Points and Periodic Orbits MD Kvalheim, D Hong, S Revzen IFAC-PapersOnLine 54 (9), 267-272, 2021	2	2021
Exploiting HF Ambient Noise to Synchronize Distributed Receivers D Hong, JL Krolik Radio Science Meeting (USNC-URSI NRSM), 2013 US National Committee of URSI …, 2013	1	2013
Learning Low-Dimensional Models for Heterogeneous Data D Hong		2019
Generalized CP Decomposition for Alternative Loss Functions. TG Kolda, CI Anderson-Bergman, JA Duersch, D Hong Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018		2018

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