Kejun Huang
Orcid: 0000-0002-6460-6365
According to our database1,
Kejun Huang
authored at least 65 papers
between 2013 and 2023.
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Bibliography
2023
An adaptive machine learning algorithm for the resource-constrained classification problem.
Eng. Appl. Artif. Intell., March, 2023
Global Identifiability of 𝓁<sub>1</sub>-based Dictionary Learning via Matrix Volume Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation.
Trans. Mach. Learn. Res., 2022
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Efficient Implementation of Stochastic Proximal Point Algorithm for Matrix and Tensor Completion.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag., 2020
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng., 2019
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications.
IEEE Signal Process. Mag., 2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR, 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm.
Proceedings of the 36th International Conference on Machine Learning, 2019
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition.
Proceedings of the IEEE Data Science Workshop, 2019
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Nesterov-Based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation.
IEEE Trans. Signal Process., 2018
IEEE Signal Process. Lett., 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling.
CoRR, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs).
Inf., 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE Trans. Signal Process., 2016
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering.
IEEE Trans. Signal Process., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain.
IEEE Trans. Signal Process., 2015
IEEE Trans. Signal Process., 2015
IEEE Signal Process. Lett., 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition.
IEEE Trans. Signal Process., 2014
Putting Nonnegative Matrix Factorization to the Test: A tutorial derivation of pertinent Cramer?Rao bounds and performance benchmarking.
IEEE Signal Process. Mag., 2014
2013
Proceedings of the IEEE International Conference on Acoustics, 2013