| 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 | 64 | 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 |
Laura BalzanoUniversity of Michigan, Ann Arborumich.edu의 이메일 확인됨
