Andersen Ang | Papers | Talks | Notes | Misc.

Preprints

I1
A. Ang, Waqas Hamed, Hans De Sterck,
''Sum-of-norms regularized Nonnegative Matrix Factorization''
arXiv

I2
X Huang, A. Ang, K Huang, J. Zhang, Y. Wang,
''Inhomogeneous graph signal estimation via a penalty''
arXiv

I3
Flavia Esposito, A. Ang,
"Chordal-NMF with Riemannian Multiplicative Update"
arXiv

I4
Valentin Leplat, Andersen Ang, Anh Huy Phan, Nicolas Gillis,
''Constrained Ordinary Differential Equations with implicit solvers for numerical optimization''

I5

I6


Journal Papers

J6
A. Ang, Hans De Sterck, Steve Vavasis, ''MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization''
SIAM Journal on Optimization 34 (3), 2788-2820, 2024
DOI | arXiv | Matlab (to be updated) | Slide

J5
A.M.S. Ang, J.E. Cohen, N. Gillis, L.T.K. Hien,
‘‘Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization’’,
Numerical Linear Algebra with Applications, 2021
DOI | arXiv | Matlab

J4
V. Leplat, N. Gillis and A.M.S. Ang,
‘‘Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF’’,
IEEE Transaction on Signal Processing, 2020
DOI | arXiv | Matlab | video

J3
A.M.S. Ang and N. Gillis,
‘‘Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing’’,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
DOI | arXiv

J2
A.M.S. Ang and N. Gillis,
‘‘Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation’’,
Neural Computation, 2019
DOI | arXiv | Matlab

J1
J.F. Wu, A.M.S. Ang, Z.G. Zhang, K.M. Tsui, H.C. Wu, Y.S. Hung, S.C. Chan,
‘‘Efficient Implementation and Design of A New Single-Channel Electrooculography-based Human-Machine Interface System“,
IEEE Transactions on Circuits and Systems II: Express Briefs, 2015
DOI


Conference papers

C13
V. Leplat, A Phan, A. Ang,
''Inexact higher-order proximal algorithms for tensor factorization'', IEEE SSP2023
DOI | pdf | poster

C12
A. Ang, J. Ma, N. Liu, K. Huang, Y. Wang,
‘‘Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics’’
NeurIPS21, Dec. 6-14, 2021, virtual
pdf | arXiv | slideLive

C11
A. Ang, V. Leplat, N. Gillis,
‘‘Fast algorithm for complex-NMF with application to source separation’’
EUSIPCO21, Aug. 23-27, 2021, virtual
pdf | Matlab | video

C10
O. V. Thanh, A. Ang, N. Gillis, L.T.K. Hien,
‘‘Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF’’
EUSIPCO21, Aug. 23-27, 2021, virtual
pdf | Matlab

C9
A.M.S. Ang, N. Gillis, A. Vandaele, H. De Sterck,
‘‘Nonnegative Unimodal Matrix Factorization’’,
ICASSP21, June 6-11, 2021, virtual
DOI | pdf | video

C8
A.M.S. Ang, J.E. Cohen, L.T.K. Hien and N. Gillis,
‘‘Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition’’,
ICASSP 2020, May 4-8, 2020, virtual
DOI | pdf | HAL | Matlab | video | slide
(update 2020 09 24) Errata in the paper, presentation video and the slide: in line 9 of Algorithm 2, the ‘‘max’’ should be ‘‘min’’, and there should be a multiplying in the update of .

C7
V. Leplat, N. Gillis, X. Siebert, A.M.S. Ang,
‘‘Séparation aveugle de sources sonores par factorization en matrices positives avec pénalité sur le volume du dictionnaire’’,
GRETSI2019, Aug. 26-29, 2019, Lille, France
pdf (in French)

C6
A. Ang, J.E. Cohen, N. Gillis,
‘‘Accelerating Approximate Nonnegative Canonical Polyadic Decomposition using Extrapolation’’,
GRETSI2019, Aug. 26-29, 2019, Lille, France
pdf | HAL | Matlab

C5
V. Leplat, A.M.S. Ang, N. Gillis,
‘‘Minimum-Volume Rank-Deficient Nonnegative Matrix Factorizations’’,
ICASSP2019, May 12-17, 2019, Brighton, UK
DOI | pdf | Matlab

C4
A.M.S. Ang and N. Gillis,
‘‘Volume regularized Non-negative Matrix Factorizations’’,
IEEE WHISPERS 2018, Sep. 23-26, 2018, Amsterdam, Netherlands
DOI | pdf | slide

C3
C.U. Lei, Y.C.A. Yeung, T.T.O. Kwok, R. Lau and A. Ang,
‘‘Leveraging videos and forums for small-class learning experience in a MOOC environment’’,
IEEE TALE 2016, Dec. 7-9, 2016, Bangkok, Thailand
DOI | pdf

C2
A.M.S. Ang, Y.S. Hung, Z. Zhang,
‘‘A Non-negative Tensor Factorization Approach to Feature Extraction for Image Analysis’’,
IEEE DSP 2016, Oct. 16-18, 2016, Beijing, China
DOI | pdf

C1
A.M.S. Ang, Z.G. Zhang, Y.S. Hung and J.N.F. Mak,
‘‘A User-friendly Wearable Single-channel EOG-based Human-Computer Interface for Cursor Control’’,
IEEE/EMBS NER2015, Apr. 22-24, 2015, Montpellier, France
DOI | pdf


Thesis

Ph.D (Doctorat en sciences de lingénieur et technologie)
A.M.S. Ang,
‘‘Nonnegative Matrix and Tensor Factorizations: Models, Algorithms and Applications’’,
Université de Mons, 2020
Thesis | Errata | Public defence slide | Public defence video

M.Phil (Biomedical Engineering)
A.M.S. Ang,
‘‘Non-negative Matrix and Tensor Factorization with Applications to Feature Extractions’’,
University of Hong Kong, 2016
Thesis

B.Eng (Electronic and Communication Engineering)
A.M.S. Ang,
‘‘Single Channel Hybrid EEG/EOG-based Brain Computer Interface’’,
University of Hong Kong, 2014


Collection of the earliest papers

Forward-backward method in 1st-order optimization

  • Gregory B Passty,
    Ergodic convergence to a zero of the sum of monotone operators in Hilbert space
    Journal of Mathematical Analysis and Applications Volume 72, Issue 2, December 1979, Pages 383-390

Multiplicative update in NMF

  • W. H. Richardson,
    Bayesian-based Iterative Method of Image Restoration,
    Journal of the Optical Society of America, 62, (1972), pp. 55–59.

Multigrid

  • R. P. Fedorenko,
    A relaxation method for solving elliptic difference equations,
    USSR Computational Mathematics and Mathematical Physics, 1 (1962), pp. 1092–1096.