Kejun Huang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 66

Top Topics

Alternating Optimization

Negative Matrix Factorization

Tensor Factorization

Top Venues

IEEE Trans. Signal Process.

Publications

Jingzhou Hu, Kejun Huang
Complex Bounded Component Analysis: Identifiability and Algorithm. ICASSP (2024)
Yuchen Sun, Kejun Huang
Volume-Regularized Nonnegative Tucker Decomposition with Identifiability Guarantees. ICASSP (2023)
Jingzhou Hu, Kejun Huang
-based Dictionary Learning via Matrix Volume Optimization. NeurIPS (2023)
Jingzhou Hu, Kejun Huang
Identifiable Bounded Component Analysis Via Minimum Volume Enclosing Parallelotope. ICASSP (2023)
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 (2023)
Aysegul Bumin, Megan Shah, Kejun Huang, Tamer Kahveci
Vulture: VULnerabilities in impuTing drUg REsistance. BCB (2023)
Yuchen Sun, Kejun Huang
HOQRI: Higher-Order QR Iteration for Scalable Tucker Decomposition. ICASSP (2022)
Aysegul Bumin, Kejun Huang
Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation. Trans. Mach. Learn. Res. 2022 (2022)
Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer
Adaptive Learning for the Resource-Constrained Classification Problem. CoRR (2022)
Aysegul Bumin, Anna M. Ritz, Donna K. Slonim, Tamer Kahveci, Kejun Huang
FiT: fiber-based tensor completion for drug repurposing. BCB (2022)
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR (2022)
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)
Aysegul Bumin, Kejun Huang
Efficient Implementation of Stochastic Proximal Point Algorithm for Matrix and Tensor Completion. EUSIPCO (2021)
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) (2020)
Kejun Huang, Xiao Fu
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition. ICASSP (2020)
Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos
Identifying Potential Investors with Data Driven Approaches. SDM (2020)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Learning Nonlinear Mixtures: Identifiability and Algorithm. IEEE Trans. Signal Process. 68 (2020)
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 (2020)
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)
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 (2020)
Kejun Huang, Xiao Fu
Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization. GlobalSIP (2019)
Guoyong Zhang, Xiao Fu, Kejun Huang, Jun Wang
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach. CAMSAP (2019)
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) (2019)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Learning Nonlinear Mixtures: Identifiability and Algorithm. CoRR (2019)
Kejun Huang, Xiao Fu
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm. ICML (2019)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. ACSSC (2019)
Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. NeurIPS (2019)
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)
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. CoRR (2019)
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 (2019)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
Anchor-Free Correlated Topic Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
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) (2019)
Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. DSW (2019)
Xiao Fu, Kejun Huang
Block-Term Tensor Decomposition Via Constrained Matrix Factorization. MLSP (2019)
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization. ICASSP (2019)
Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. CoRR (2019)
Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis
Streaming Tensor Factorization for Infinite Data Sources. SDM (2018)
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling. ICML (2018)
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) (2018)
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
On Convergence of Epanechnikov Mean Shift. AAAI (2018)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
On Identifiability of Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 25 (3) (2018)
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling. CoRR (2018)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. CoRR (2018)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
On Identifiability of Nonnegative Matrix Factorization. CoRR (2017)
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) (2017)
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)
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)
Kejun Huang, Nicholas D. Sidiropoulos
Kullback-Leibler Principal Component for Tensors is not NP-hard. CoRR (2017)
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) (2017)
Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos
Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization. ICASSP (2017)
Kejun Huang, Nicholas D. Sidiropoulos
Kullback-Leibler principal component for tensors is not NP-hard. ACSSC (2017)
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
On Convergence of Epanechnikov Mean Shift. CoRR (2017)
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) (2017)
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) (2016)
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
Tensor Decomposition for Signal Processing and Machine Learning. CoRR (2016)
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. CoRR (2016)
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)
Xiao Fu, Wing-Kin Ma, Kejun Huang, Nicholas D. Sidiropoulos
Robust volume minimization-based matrix factorization via alternating optimization. ICASSP (2016)
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) (2016)
Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang, Lei Huang, Hing-Cheung So
Least squares phase retrieval using feasible point pursuit. ICASSP (2016)
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms. IEEE Trans. Signal Process. 64 (23) (2016)
Kejun Huang, Nicholas D. Sidiropoulos
Consensus-ADMM for General Quadratically Constrained Quadratic Programming. IEEE Trans. Signal Process. 64 (20) (2016)
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) (2016)
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
On convexity and identifiability in 1-D Fourier phase retrieval. ICASSP (2016)
Kejun Huang, Yonina C. Eldar, Nicholas D. Sidiropoulos
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms. CoRR (2016)
Kejun Huang, Xiao Fu, Nikos D. Sidiropoulos
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. NIPS (2016)
Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang, Lei Huang, Hing-Cheung So
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound. CoRR (2015)
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization. CoRR (2015)
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) (2015)
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
Efficient algorithms for 'universally' constrained matrix and tensor factorization. EUSIPCO (2015)
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) (2015)
Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell
Principled Neuro-Functional Connectivity Discovery. SDM (2015)
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)
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) (2015)
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) (2014)
Kejun Huang, Nicholas D. Sidiropoulos, Ananthram Swami
Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition. IEEE Trans. Signal Process. 62 (1) (2014)
Kejun Huang, Nikos D. Sidiropoulos, A. Swamiy
NMF revisited: New uniqueness results and algorithms. ICASSP (2013)