Anh Huy Phan
Orcid: 0000-0002-5509-7773Affiliations:
- Skolkovo Institute of Science and Technology (SKOLTECH), Moscow, Russia
- RIKEN, Tokyo, Japan (2011 - 2018)
- Kyushu Institute of Technology, Kitakyushu, Japan (PhD 2011)
According to our database1,
Anh Huy Phan
authored at least 101 papers
between 2007 and 2024.
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Bibliography
2024
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection.
Adv. Comput. Math., April, 2024
A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes.
J. Sci. Comput., January, 2024
2023
Signal Process., December, 2023
Signal Process., November, 2023
Attribute recognition for person re-identification using federated learning at all-in-edge.
Internet Things, July, 2023
CoRR, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
2022
Appl. Soft Comput., 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Mach. Learn. Sci. Technol., 2021
IEEE J. Sel. Top. Signal Process., 2021
IEEE J. Sel. Top. Signal Process., 2021
IEEE Access, 2021
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD).
IEEE Access, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2020
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2020
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition.
Neural Comput. Appl., 2020
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD).
CoRR, 2020
Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
IEEE Trans. Signal Process., 2019
2017
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Found. Trends Mach. Learn., 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Partitioned Hierarchical alternating least squares algorithm for CP tensor decomposition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition.
IEEE Signal Process. Lett., 2016
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Found. Trends Mach. Learn., 2016
Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition.
CoRR, 2016
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.
CoRR, 2016
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
IEEE Trans. Signal Process., 2015
Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm.
IEEE Trans. Signal Process., 2015
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
CoRR, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
IEEE Trans. Signal Process., 2013
IEEE Trans. Signal Process., 2013
Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations.
IEEE Trans. Signal Process., 2013
IEEE Signal Process. Lett., 2013
SIAM J. Matrix Anal. Appl., 2013
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG.
Int. J. Neural Syst., 2013
A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations - A novel recursive solution for nonnegative quadratic programming and NTF.
Neural Comput. Appl., 2012
Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array.
Int. J. Neural Syst., 2012
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
A treatment of EEG data by underdetermined blind source separation for motor imagery classification.
Proceedings of the 20th European Signal Processing Conference, 2012
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification.
Neurocomputing, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Aust. J. Intell. Inf. Process. Syst., 2010
Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials.
Proceedings of the Advances in Neural Networks, 2010
Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials.
Proceedings of the International Joint Conference on Neural Networks, 2010
Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
2009
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation.
Wiley, ISBN: 978-0-470-74727-8, 2009
2008
Proceedings of the Advances in Neural Networks, 2008
2007
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation.
Proceedings of the Neural Information Processing, 14th International Conference, 2007