  | Ang, M. S., Cohen, J. E., Gillis, N., & Le, T. K. H. (05 March 2021). Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization. Numerical Linear Algebra with Applications, 28 (5).  Peer reviewed vérifié par ORBi |
 | Ang, M. S., Gillis, N., Vandaele, A., & De Sterck, H. (2021). Nonnegative Unimodal Matrix Factorization. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. doi:10.1109/ICASSP39728.2021.9414631 Peer reviewed |
 | Leplat, V., Gillis, N., & Ang, M. S. (29 April 2020). Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF. IEEE Transactions on Signal Processing, 68, 3400-3410. Peer reviewed vérifié par ORBi |
 | Ang, M. S., Cohen, J. E., Le, T. K. H., & Gillis, N. (2020). Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. Peer reviewed |
 | Leplat, V., Gillis, N., Siebert, X., & Ang, M. S. (2019). Séparation aveugle de sources sonores par factorization en matrices positives avec pénalité sur le volume du dictionnaire. GRETSI. Peer reviewed |
 | Ang, M. S., Cohen, J. E., & Gillis, N. (2019). Accelerating Approximate Nonnegative Canonical Polyadic Decomposition using Extrapolation. GRETSI. Peer reviewed |
 | Ang, M. S., & Gillis, N. (10 July 2019). 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), 4843-4853. Peer reviewed vérifié par ORBi |
 | Leplat, V., Ang, M. S., & Gillis, N. (2019). Minimum-Volume Rank-Deficient Nonnegative Matrix Factorizations. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. Peer reviewed |
 | Ang, M. S., & Gillis, N. (18 January 2019). Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation. Neural Computation, 31 (2), 417-439. Peer reviewed vérifié par ORBi |
 | Ang, M. S., & Gillis, N. (2018). Volume regularized Non-negative Matrix Factorisations. Workshop on hyperspectral image and signal processing evolution in remote sensing. Peer reviewed |
 | Ang, M. S., & Gillis, N. (28 August 2017). Log-determinant constrained Non-negative Matrix Factorization [Poster presentation]. Autumn School: Optimization in Machine Learning and Data Science, Trier, Germany. |