[I1] A.M.S. Ang, J.E. Cohen, N. Gillis, L. T. K. Hien, “Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization”, January 2020. [arXiv] [MATLAB available after paper acceptance]

Journal Papers

[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. [DOI] [arXiv] [MATLAB]

[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 12 (12), pp. 4843-4853, 2019. [DOI] [arXiv] [MATLAB]

[J2] A.M.S. Ang and N. Gillis, ‘‘Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation“, Neural Computation 31 (2), pp. 417-439, 2019. [DOI], [arXiv], [MATLAB], [Slide], [Old slide1], [Old slide2 for IMSP2018]

[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 TCAS II 62(2), 2015. [DOI] [pdf]

Conference papers / Proceedings

[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. [DOI] [pdf] [HAL] [MATLAB] [ICASSP2020 presentation video] [slide]

[C7] Valentin Leplat, Nicolas Gillis, Xavier Siebert, Andersen M. S. Ang, ‘‘Séparation aveugle de sources sonores par factorization en matrices positives avec pénalité sur le volume du dictionnaire“, GRETSI 2019, Aug. 26-29, 2019, Lille, France. [pdf]

[C6] A. Ang, J. E. Cohen, N. Gillis, ‘‘Accelerating Approximate Nonnegative Canonical Polyadic Decomposition using Extrapolation“, GRETSI 2019, 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“, ICASSP 2019, 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], [Short slide], [Long 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]

Other stuffs

Log-determinant constrained Non-negative Matrix Factorization
[Poster presentation in Autumn School : Optimization in Machine Learning and Data Science]
My second presentation, got some advices from Stephen Wright during the autumn school. Aug. 28, 2017. Trier, Germany.

A Low-rank regularized Non-negative Matrix Factorization Model
[A short presentation in front of Stephen Boyd, Yurri Nesterov and Francois Glineur in UCL]
My first presentation after I started my PhD in Belgium since 2017-Feb. I have to admit, the meeting was super exciting. May 19, 2017. Louvain-la-Neuve, Belgium.


Ph.D (Doctorat en sciences de l ingénieur et technologie)
A.M.S. Ang, ‘‘Nonnegative Matrix and Tensor Factorizations: Models, Algorithms and Applications’’ Université de Mons, under preparation

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

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