![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Kejun Huang
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c37]Jingzhou Hu, Kejun Huang:
Complex Bounded Component Analysis: Identifiability and Algorithm. ICASSP 2024: 6680-6684 - 2023
- [j23]Danit Shifman Abukasis, Izack Cohen
, Kejun Huang, Xiaochen Xian
, Gonen Singer:
An adaptive machine learning algorithm for the resource-constrained classification problem. Eng. Appl. Artif. Intell. 119: 105741 (2023) - [c36]Aysegul Bumin
, Megan Shah
, Kejun Huang
, Tamer Kahveci
:
Vulture: VULnerabilities in impuTing drUg REsistance. BCB 2023: 56:1-56:6 - [c35]Jingzhou Hu, Kejun Huang:
Identifiable Bounded Component Analysis Via Minimum Volume Enclosing Parallelotope. ICASSP 2023: 1-5 - [c34]Yuchen Sun, Kejun Huang:
Volume-Regularized Nonnegative Tucker Decomposition with Identifiability Guarantees. ICASSP 2023: 1-5 - [c33]Jingzhou Hu, Kejun Huang:
Global Identifiability of 𝓁1-based Dictionary Learning via Matrix Volume Optimization. NeurIPS 2023 - 2022
- [j22]Aysegul Bumin, Kejun Huang:
Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation. Trans. Mach. Learn. Res. 2022 (2022) - [c32]Aysegul Bumin, Anna M. Ritz, Donna K. Slonim, Tamer Kahveci, Kejun Huang:
FiT: fiber-based tensor completion for drug repurposing. BCB 2022: 31:1-31:10 - [c31]Yuanfang Ren, Aisharjya Sarkar, Aysegul Bumin, Kejun Huang, Pierangelo Veltri, Alin Dobra, Tamer Kahveci:
Identification of co-existing embeddings of a motif in multilayer networks. BCB 2022: 39:1-39:10 - [c30]Yuchen Sun, Kejun Huang:
HOQRI: Higher-Order QR Iteration for Scalable Tucker Decomposition. ICASSP 2022: 3648-3652 - [i17]Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR abs/2202.00071 (2022) - [i16]Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer:
Adaptive Learning for the Resource-Constrained Classification Problem. CoRR abs/2207.09196 (2022) - 2021
- [c29]Aysegul Bumin, Kejun Huang:
Efficient Implementation of Stochastic Proximal Point Algorithm for Matrix and Tensor Completion. EUSIPCO 2021: 1050-1054 - 2020
- [j21]Xiao Fu
, Nico Vervliet, Lieven De Lathauwer
, Kejun Huang
, Nicolas Gillis
:
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. 37(5): 78-94 (2020) - [j20]Xiao Fu
, Shahana Ibrahim, Hoi-To Wai
, Cheng Gao
, Kejun Huang
:
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. IEEE Trans. Signal Process. 68: 2170-2185 (2020) - [j19]Bo Yang
, Xiao Fu
, Nicholas D. Sidiropoulos
, Kejun Huang
:
Learning Nonlinear Mixtures: Identifiability and Algorithm. IEEE Trans. Signal Process. 68: 2857-2869 (2020) - [c28]Kejun Huang, Xiao Fu:
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition. ICASSP 2020: 3922-3926 - [c27]Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong:
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems. NeurIPS 2020 - [c26]Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos
:
Identifying Potential Investors with Data Driven Approaches. SDM 2020: 235-243 - [i15]Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis:
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR abs/2006.08183 (2020)
2010 – 2019
- 2019
- [j18]Xiao Fu
, Kejun Huang
, Nicholas D. Sidiropoulos
, Qingjiang Shi
, Mingyi Hong
:
Anchor-Free Correlated Topic Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1056-1071 (2019) - [j17]Xiao Fu
, Kejun Huang
, Nicholas D. Sidiropoulos
, Wing-Kin Ma
:
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. IEEE Signal Process. Mag. 36(2): 59-80 (2019) - [j16]Xiao Fu
, Kejun Huang
, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos
, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31(12): 2304-2318 (2019) - [c25]Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
, Kejun Huang:
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. ACSSC 2019: 1040-1044 - [c24]Guoyong Zhang, Xiao Fu, Kejun Huang, Jun Wang:
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach. CAMSAP 2019: 470-474 - [c23]Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. DSW 2019: 295-299 - [c22]Kejun Huang, Xiao Fu:
Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization. GlobalSIP 2019: 1-5 - [c21]Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong:
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. ICASSP 2019: 5356-5360 - [c20]Xiao Fu, Cheng Gao
, Hoi-To Wai, Kejun Huang:
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization. ICASSP 2019: 7485-7489 - [c19]Kejun Huang, Xiao Fu:
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm. ICML 2019: 2859-2868 - [c18]Xiao Fu, Kejun Huang:
Block-Term Tensor Decomposition Via Constrained Matrix Factorization. MLSP 2019: 1-6 - [c17]Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang:
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. NeurIPS 2019: 7845-7855 - [i14]Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang:
Learning Nonlinear Mixtures: Identifiability and Algorithm. CoRR abs/1901.01568 (2019) - [i13]Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang:
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. CoRR abs/1901.05529 (2019) - [i12]Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong:
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems. CoRR abs/1907.04450 (2019) - [i11]Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang:
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. CoRR abs/1909.12325 (2019) - 2018
- [j15]Xiao Fu
, Kejun Huang
, Nicholas D. Sidiropoulos
:
On Identifiability of Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 25(3): 328-332 (2018) - [j14]Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos
:
Nesterov-Based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation. IEEE Trans. Signal Process. 66(4): 944-953 (2018) - [c16]Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
:
On Convergence of Epanechnikov Mean Shift. AAAI 2018: 3263-3270 - [c15]Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
:
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling. ICML 2018: 2073-2082 - [c14]Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos
, George Karypis
:
Streaming Tensor Factorization for Infinite Data Sources. SDM 2018: 81-89 - [i10]Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling. CoRR abs/1802.06894 (2018) - [i9]Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma:
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. CoRR abs/1803.01257 (2018) - 2017
- [j13]Meiju Li, Xiujuan Du, Kejun Huang, Senlin Hou, Xiuxiu Liu:
A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs). Inf. 8(4): 153 (2017) - [j12]Nicholas D. Sidiropoulos
, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis
, Christos Faloutsos:
Tensor Decomposition for Signal Processing and Machine Learning. IEEE Trans. Signal Process. 65(13): 3551-3582 (2017) - [j11]Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos
, Anthony Man-Cho So
:
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis. IEEE Trans. Signal Process. 65(16): 4150-4165 (2017) - [c13]Kejun Huang, Nicholas D. Sidiropoulos
:
Kullback-Leibler principal component for tensors is not NP-hard. ACSSC 2017: 693-697 - [c12]Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos
, Anthony Man-Cho So
:
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization. ICASSP 2017: 5855-5859 - [c11]Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos
:
Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization. ICASSP 2017: 5895-5899 - [c10]Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos
, Christos Faloutsos, Barnabás Póczos:
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM 2017: 216-227 - [i8]Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos:
On Identifiability of Nonnegative Matrix Factorization. CoRR abs/1709.00614 (2017) - [i7]Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
On Convergence of Epanechnikov Mean Shift. CoRR abs/1711.07441 (2017) - [i6]Kejun Huang, Nicholas D. Sidiropoulos:
Kullback-Leibler Principal Component for Tensors is not NP-hard. CoRR abs/1711.07925 (2017) - 2016
- [j10]Kejun Huang, Nicholas D. Sidiropoulos
, Athanasios P. Liavas:
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization. IEEE Trans. Signal Process. 64(19): 5052-5065 (2016) - [j9]Cheng Qian, Nicholas D. Sidiropoulos
, Kejun Huang, Lei Huang
, Hing-Cheung So:
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound. IEEE Trans. Signal Process. 64(20): 5282-5296 (2016) - [j8]Kejun Huang, Nicholas D. Sidiropoulos
:
Consensus-ADMM for General Quadratically Constrained Quadratic Programming. IEEE Trans. Signal Process. 64(20): 5297-5310 (2016) - [j7]Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
:
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms. IEEE Trans. Signal Process. 64(23): 6105-6117 (2016) - [j6]Xiao Fu, Kejun Huang, Bo Yang, Wing-Kin Ma
, Nicholas D. Sidiropoulos
:
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering. IEEE Trans. Signal Process. 64(23): 6254-6268 (2016) - [c9]Xiao Fu, Wing-Kin Ma
, Kejun Huang, Nicholas D. Sidiropoulos
:
Robust volume minimization-based matrix factorization via alternating optimization. ICASSP 2016: 2534-2538 - [c8]Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
:
On convexity and identifiability in 1-D Fourier phase retrieval. ICASSP 2016: 3941-3945 - [c7]Cheng Qian, Nicholas D. Sidiropoulos
, Kejun Huang, Lei Huang
, Hing-Cheung So:
Least squares phase retrieval using feasible point pursuit. ICASSP 2016: 4288-4292 - [c6]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos
, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM 2016: 871-876 - [c5]Kejun Huang, Xiao Fu, Nikos D. Sidiropoulos
:
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. NIPS 2016: 1786-1794 - [i5]Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos:
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms. CoRR abs/1603.05215 (2016) - [i4]Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos:
Tensor Decomposition for Signal Processing and Machine Learning. CoRR abs/1607.01668 (2016) - [i3]Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. CoRR abs/1611.05010 (2016) - 2015
- [j5]Omar Mehanna, Kejun Huang, Balasubramanian Gopalakrishnan, Aritra Konar, Nicholas D. Sidiropoulos
:
Feasible Point Pursuit and Successive Approximation of Non-Convex QCQPs. IEEE Signal Process. Lett. 22(7): 804-808 (2015) - [j4]Xiao Fu, Wing-Kin Ma
, Kejun Huang, Nicholas D. Sidiropoulos
:
Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain. IEEE Trans. Signal Process. 63(9): 2306-2320 (2015) - [j3]Xiao Fu, Kejun Huang, Wing-Kin Ma
, Nicholas D. Sidiropoulos
, Rasmus Bro
:
Joint Tensor Factorization and Outlying Slab Suppression With Applications. IEEE Trans. Signal Process. 63(23): 6315-6328 (2015) - [c4]Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos
, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu:
Translation Invariant Word Embeddings. EMNLP 2015: 1084-1088 - [c3]Kejun Huang, Nicholas D. Sidiropoulos
, Athanasios P. Liavas:
Efficient algorithms for 'universally' constrained matrix and tensor factorization. EUSIPCO 2015: 2521-2525 - [c2]Kejun Huang, Nicholas D. Sidiropoulos
, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell:
Principled Neuro-Functional Connectivity Discovery. SDM 2015: 631-639 - [i2]Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas:
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization. CoRR abs/1506.04209 (2015) - [i1]Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang, Lei Huang, Hing-Cheung So:
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound. CoRR abs/1509.08451 (2015) - 2014
- [j2]Kejun Huang, Nikolaos D. Sidiropoulos
:
Putting Nonnegative Matrix Factorization to the Test: A tutorial derivation of pertinent Cramer?Rao bounds and performance benchmarking. IEEE Signal Process. Mag. 31(3): 76-86 (2014) - [j1]Kejun Huang, Nicholas D. Sidiropoulos
, Ananthram Swami:
Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition. IEEE Trans. Signal Process. 62(1): 211-224 (2014) - 2013
- [c1]Kejun Huang, Nikos D. Sidiropoulos
, A. Swamiy:
NMF revisited: New uniqueness results and algorithms. ICASSP 2013: 4524-4528
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-27 22:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint