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Furong Huang
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Cited by
Year
Escaping from saddle points—online stochastic gradient for tensor decomposition
R Ge, F Huang, C Jin, Y Yuan
Conference on learning theory, 797-842, 2015
9512015
High-dimensional structure estimation in Ising models: Local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
The Annals of Statistics, 1346-1375, 2012
1102012
High-dimensional Gaussian graphical model selection: Walk summability and local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
Journal of Machine Learning Research 13, 2293-2337, 2012
892012
Learning deep resnet blocks sequentially using boosting theory
F Huang, J Ash, J Langford, R Schapire
International Conference on Machine Learning, 2058-2067, 2018
802018
Online tensor methods for learning latent variable models
F Huang, UN Niranjan, MU Hakeem, A Anandkumar
Journal of Machine Learning Research 16, 2797-2835, 2015
79*2015
Prediction-Based Spectrum Aggregation with Hardware Limitation in Cognitive Radio Networks
ZZ Furong Huang,Wei Wang,Haiyan Luo,Guanding Yu
Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st, 2010
50*2010
Learning mixtures of tree graphical models
A Anandkumar, DJ Hsu, F Huang, SM Kakade
Advances in Neural Information Processing Systems 25, 2012
492012
Convolutional dictionary learning through tensor factorization
F Huang, A Anandkumar
Feature extraction: modern questions and challenges, 116-129, 2015
392015
Convolutional tensor-train lstm for spatio-temporal learning
J Su, W Byeon, J Kossaifi, F Huang, J Kautz, A Anandkumar
Advances in Neural Information Processing Systems 33, 13714-13726, 2020
302020
Understanding generalization through visualizations
WR Huang, Z Emam, M Goldblum, L Fowl, JK Terry, F Huang, T Goldstein
PMLR, 2020
252020
Fast detection of overlapping communities via online tensor methods on gpus
F Huang, UN Niranjan, MU Hakeem, P Verma, A Anandkumar
CoRR, abs/1309.0787, 2013
202013
Label smoothing and logit squeezing: a replacement for adversarial training?
A Shafahi, A Ghiasi, F Huang, T Goldstein
arXiv preprint arXiv:1910.11585, 2019
172019
Sysml: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
172019
Understanding generalization in deep learning via tensor methods
J Li, Y Sun, J Su, T Suzuki, F Huang
International Conference on Artificial Intelligence and Statistics, 504-515, 2020
162020
Scalable latent tree model and its application to health analytics
F Huang, I Perros, R Chen, J Sun, A Anandkumar
arXiv preprint arXiv:1406.4566, 2014
16*2014
Distributed latent dirichlet allocation via tensor factorization
F Huang, S Matusevych, A Anandkumar, N Karampatziakis, P Mineiro
NIPS Optimization Workshop 1, 2014
132014
Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations
E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ...
arXiv preprint arXiv:2103.02079, 2021
122021
Unsupervised learning of word-sequence representations from scratch via convolutional tensor decomposition
F Huang, A Anandkumar
122016
Tensorized spectrum preserving compression for neural networks
J Su, J Li, B Bhattacharjee, F Huang
arXiv preprint arXiv:1805.10352, 2018
112018
Mlsys: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
arXiv preprint arXiv:1904.03257, 2019
102019
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