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Adaptive Learning for the Resource-Constrained Classification Problem


Jul 19, 2022
Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer


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JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion


Jan 31, 2022
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith S. Srinivasa, Jimeng Sun


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Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors


Jun 15, 2020
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis


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Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms


Sep 26, 2019
Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang

* 28 pages, 5 figures, to appear in 33rd NeurIPS conference, Vancouver, Canada 

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SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems


Jul 09, 2019
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong


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Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization


Jan 16, 2019
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang

* single-column, 32 pages 

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Learning Nonlinear Mixtures: Identifiability and Algorithm


Jan 06, 2019
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang

* 15 pages 

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Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications


Oct 18, 2018
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma

* accepted version, IEEE Signal Processing Magazine 

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Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling


Jun 18, 2018
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos

* ICML 2018 

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Kullback-Leibler Principal Component for Tensors is not NP-hard


Nov 21, 2017
Kejun Huang, Nicholas D. Sidiropoulos

* Asilomar 2017 

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