David Hong

According to our database, David Hong authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Provable Tradeoffs in Adversarially Robust Classification.

Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey

IEEE Trans. Inf. Theory, December, 2023

Optimally Weighted PCA for High-Dimensional Heteroscedastic Data.

David Hong, Fan Yang, Jeffrey A. Fessler, Laura Balzano

SIAM J. Math. Data Sci., March, 2023

2021

HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise.

David Hong, Kyle Gilman, Laura Balzano, Jeffrey A. Fessler

IEEE Trans. Signal Process., 2021

2020

Stochastic Gradients for Large-Scale Tensor Decomposition.

Tamara G. Kolda, David Hong

SIAM J. Math. Data Sci., 2020

Generalized Canonical Polyadic Tensor Decomposition.

David Hong, Tamara G. Kolda, Jed A. Duersch

SIAM Rev., 2020

Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion.

Shunbo Lei, David Hong, Johanna L. Mathieu, Ian A. Hiskens

CoRR, 2020

2019

Convolutional Analysis Operator Learning: Dependence on Training Data.

Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler

IEEE Signal Process. Lett., 2019

Exploration of tensor decomposition applied to commercial building baseline estimation.

David Hong, Shunbo Lei, Johanna L. Mathieu, Laura Balzano

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Probabilistic PCA for Heteroscedastic Data.

David Hong, Laura Balzano, Jeffrey A. Fessler

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems.

Caroline Crockett, David Hong, Il Yong Chun, Jeffrey A. Fessler

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Multi-Table Differential Correlation Analysis of Neuroanatomical and Cognitive Interactions in Turner Syndrome.

Christof Seiler, Tamar Green, David Hong, Lindsay Chromik, Lynne Huffman, Susan P. Holmes, Allan L. Reiss

Neuroinformatics, 2018

Asymptotic performance of PCA for high-dimensional heteroscedastic data.

David Hong, Laura Balzano, Jeffrey A. Fessler

J. Multivar. Anal., 2018

Online Estimation of Coherent Subspaces with Adaptive Sampling.

Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Learning Dictionary-Based Unions of Subspaces for Image Denoising.

David Hong, Robert P. Malinas, Jeffrey A. Fessler, Laura Balzano

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities.

Ashkan Yousefpour, Caleb Fung, Tam Nguyen, David Hong, Daniel Zhang

CoRR, 2017

Subspace Clustering using Ensembles of $K$-Subspaces.

John Lipor, David Hong, Dejiao Zhang, Laura Balzano

CoRR, 2017

Enhanced online subspace estimation via adaptive sensing.

Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Towards a theoretical analysis of PCA for heteroscedastic data.

David Hong, Laura Balzano, Jeffrey A. Fessler

Proceedings of the 54th Annual Allerton Conference on Communication, 2016