Kejun Huang

83 papers A* 9A 4Misc 15Journal 41Unranked 14
YearRankTypeTitle / Venue / Authors
2025 A* conf
Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization.
ICLR
Yuchen Sun, Kejun Huang
2025 J jnl
HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors.
CoRR
Yuchen Sun, Amit Bhat, Chunmei Wang, Kejun Huang
2025 — conf
Linearized ADMM for Simplicial and Nonnegative Component Analyses.
IEEECONF
Jingzhou Hu, Kejun Huang
2024 Misc conf
Complex Bounded Component Analysis: Identifiability and Algorithm.
ICASSP
Jingzhou Hu, Kejun Huang
2024 — conf
Frank-Wolfe Algorithm for Simplicial and Nonnegative Component Analysis.
SAM
Jingzhou Hu, Kejun Huang
2024 — conf
Improved Identifiability and Sample Complexity Analysis of Complete Dictionary Learning.
SAM
Yuchen Sun, Kejun Huang
2023 J jnl
An adaptive machine learning algorithm for the resource-constrained classification problem.
Eng. Appl. Artif. Intell.
Danit Shifman Abukasis, Izack Cohen, Kejun Huang, Xiaochen Xian, Gonen Singer
2023 A* conf
Global Identifiability of 𝓁
NeurIPS
Jingzhou Hu, Kejun Huang
2023 Misc conf
Identifiable Bounded Component Analysis Via Minimum Volume Enclosing Parallelotope.
ICASSP
Jingzhou Hu, Kejun Huang
2023 — conf
PartialFibers: An Efficient Method for Predicting Drug-Drug Interactions.
ICCABS
Aysegul Bumin, Kejun Huang, Tamer Kahveci
2023 Misc conf
Volume-Regularized Nonnegative Tucker Decomposition with Identifiability Guarantees.
ICASSP
Yuchen Sun, Kejun Huang
2023 — conf
Vulture: VULnerabilities in impuTing drUg REsistance.
BCB
Aysegul Bumin, Megan Shah, Kejun Huang, Tamer Kahveci
2022 J jnl
Adaptive Learning for the Resource-Constrained Classification Problem.
CoRR
Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer
2022 — conf
FiT: fiber-based tensor completion for drug repurposing.
BCB
Aysegul Bumin, Anna M. Ritz, Donna K. Slonim, Tamer Kahveci, Kejun Huang
2022 Misc conf
HOQRI: Higher-Order QR Iteration for Scalable Tucker Decomposition.
ICASSP
Yuchen Sun, Kejun Huang
2022 — conf
Identification of co-existing embeddings of a motif in multilayer networks.
BCB
Yuanfang Ren, Aisharjya Sarkar, Aysegul Bumin, Kejun Huang, Pierangelo Veltri, Alin Dobra, Tamer Kahveci
2022 J jnl
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.
CoRR
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun
2022 J jnl
Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation.
Trans. Mach. Learn. Res.
Aysegul Bumin, Kejun Huang
2021 — conf
Efficient Implementation of Stochastic Proximal Point Algorithm for Matrix and Tensor Completion.
EUSIPCO
Aysegul Bumin, Kejun Huang
2020 J jnl
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.
IEEE Trans. Signal Process.
Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang
2020 J jnl
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag.
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2020 A* conf
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
NeurIPS
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2020 A conf
Identifying Potential Investors with Data Driven Approaches.
SDM
Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos
2020 J jnl
Learning Nonlinear Mixtures: Identifiability and Algorithm.
IEEE Trans. Signal Process.
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2020 Misc conf
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition.
ICASSP
Kejun Huang, Xiao Fu
2020 J jnl
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2019 J jnl
Anchor-Free Correlated Topic Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
2019 J jnl
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.
CoRR
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
2019 — conf
Block-Term Tensor Decomposition Via Constrained Matrix Factorization.
MLSP
Xiao Fu, Kejun Huang
2019 Misc conf
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization.
ICASSP
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
2019 A* conf
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms.
NeurIPS
Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
2019 J jnl
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms.
CoRR
Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang
2019 A* conf
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm.
ICML
Kejun Huang, Xiao Fu
2019 J jnl
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng.
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2019 — conf
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach.
CAMSAP
Guoyong Zhang, Xiao Fu, Kejun Huang, Jun Wang
2019 J jnl
Learning Nonlinear Mixtures: Identifiability and Algorithm.
CoRR
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2019 — conf
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition.
DSW
Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2019 — conf
Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization.
GlobalSIP
Kejun Huang, Xiao Fu
2019 J jnl
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications.
IEEE Signal Process. Mag.
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
2019 Misc conf
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems.
ICASSP
Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong
2019 J jnl
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2019 Misc conf
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm.
ACSSC
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2018 A* conf
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling.
ICML
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2018 J jnl
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling.
CoRR
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2018 J jnl
Nesterov-Based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation.
IEEE Trans. Signal Process.
Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos
2018 J jnl
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications.
CoRR
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018 A* conf
On Convergence of Epanechnikov Mean Shift.
AAAI
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2018 J jnl
On Identifiability of Nonnegative Matrix Factorization.
IEEE Signal Process. Lett.
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
2018 A conf
Streaming Tensor Factorization for Infinite Data Sources.
SDM
Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis
2017 J jnl
A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs).
Inf.
Meiju Li, Xiujuan Du, Kejun Huang, Senlin Hou, Xiuxiu Liu
2017 A conf
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
SDM
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
2017 J jnl
Kullback-Leibler Principal Component for Tensors is not NP-hard.
CoRR
Kejun Huang, Nicholas D. Sidiropoulos
2017 Misc conf
Kullback-Leibler principal component for tensors is not NP-hard.
ACSSC
Kejun Huang, Nicholas D. Sidiropoulos
2017 Misc conf
Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization.
ICASSP
Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos
2017 J jnl
On Convergence of Epanechnikov Mean Shift.
CoRR
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2017 J jnl
On Identifiability of Nonnegative Matrix Factorization.
CoRR
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
2017 J jnl
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis.
IEEE Trans. Signal Process.
Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So
2017 Misc conf
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
ICASSP
Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So
2017 J jnl
Tensor Decomposition for Signal Processing and Machine Learning.
IEEE Trans. Signal Process.
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
2016 J jnl
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization.
IEEE Trans. Signal Process.
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
2016 — conf
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm.
NIPS
Kejun Huang, Xiao Fu, Nikos D. Sidiropoulos
2016 J jnl
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm.
CoRR
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2016 J jnl
Consensus-ADMM for General Quadratically Constrained Quadratic Programming.
IEEE Trans. Signal Process.
Kejun Huang, Nicholas D. Sidiropoulos
2016 A* conf
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
ICDM
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2016 Misc conf
Least squares phase retrieval using feasible point pursuit.
ICASSP
Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang, Lei Huang, Hing-Cheung So
2016 Misc conf
On convexity and identifiability in 1-D Fourier phase retrieval.
ICASSP
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
2016 J jnl
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound.
IEEE Trans. Signal Process.
Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang, Lei Huang, Hing-Cheung So
2016 J jnl
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms.
CoRR
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
2016 J jnl
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms.
IEEE Trans. Signal Process.
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
2016 J jnl
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering.
IEEE Trans. Signal Process.
Xiao Fu, Kejun Huang, Bo Yang, Wing-Kin Ma, Nicholas D. Sidiropoulos
2016 Misc conf
Robust volume minimization-based matrix factorization via alternating optimization.
ICASSP
Xiao Fu, Wing-Kin Ma, Kejun Huang, Nicholas D. Sidiropoulos
2016 J jnl
Tensor Decomposition for Signal Processing and Machine Learning.
CoRR
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
2015 J jnl
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization.
CoRR
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
2015 J jnl
Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain.
IEEE Trans. Signal Process.
Xiao Fu, Wing-Kin Ma, Kejun Huang, Nicholas D. Sidiropoulos
2015 — conf
Efficient algorithms for 'universally' constrained matrix and tensor factorization.
EUSIPCO
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
2015 J jnl
Feasible Point Pursuit and Successive Approximation of Non-Convex QCQPs.
IEEE Signal Process. Lett.
Omar Mehanna, Kejun Huang, Balasubramanian Gopalakrishnan, Aritra Konar, Nicholas D. Sidiropoulos
2015 J jnl
Joint Tensor Factorization and Outlying Slab Suppression With Applications.
IEEE Trans. Signal Process.
Xiao Fu, Kejun Huang, Wing-Kin Ma, Nicholas D. Sidiropoulos, Rasmus Bro
2015 J jnl
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound.
CoRR
Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang, Lei Huang, Hing-Cheung So
2015 A conf
Principled Neuro-Functional Connectivity Discovery.
SDM
Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell
2015 A* conf
Translation Invariant Word Embeddings.
EMNLP
Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu
2014 J jnl
Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition.
IEEE Trans. Signal Process.
Kejun Huang, Nicholas D. Sidiropoulos, Ananthram Swami
2014 J jnl
Putting Nonnegative Matrix Factorization to the Test: A tutorial derivation of pertinent Cramer?Rao bounds and performance benchmarking.
IEEE Signal Process. Mag.
Kejun Huang, Nikolaos D. Sidiropoulos
2013 Misc conf
NMF revisited: New uniqueness results and algorithms.
ICASSP
Kejun Huang, Nikos D. Sidiropoulos, A. Swamiy