A Bayesian non parametric approach to learn dictionaries with adapted numbers of atoms. - Hong Phuong Dang; Pierre Chainais (MLSP, 2015)

Indian Buffet process dictionary learning for image inpainting. - Hong Phuong Dang; Pierre Chainais (SSP, 2016)

Approches bayésiennes non paramétriques et apprentissage de dictionnaire pour les problèmes inverses en traitement d'image. (Bayesian nonparametric approaches and dictionary learning for inverse problems in image processing). - Hong Phuong Dang (2016)

Indian Buffet Process dictionary learning: Algorithms and applications to image processing. - Hong Phuong Dang; Pierre Chainais (Int. J. Approx. Reason., 2017)

Small variance asymptotics and bayesian nonparametrics for dictionary learning. - Clement Elvira; Hong Phuong Dang; Pierre Chainais (EUSIPCO, 2018)

Towards Dictionaries of Optimal Size: A Bayesian Non Parametric Approach. - Hong Phuong Dang; Pierre Chainais (J. Signal Process. Syst., 2018)

Parameter-free Small Variance Asymptotics for Dictionary Learning. - Hong Phuong Dang; Clément Elvira (EUSIPCO, 2019)

Data-Driven Parameter Choice for Illumination Artifact Correction of Digital Images. - Hong Phuong Dang; Myriam Vimond; Ségolen Geffray (IEEE Signal Process. Lett., 2021)

Region-free Safe Screening Tests for $ ell_{1}$-penalized Convex Problems. - Cédric Herzet; Clément Elvira; Hong Phuong Dang (EUSIPCO, 2022)

Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces. - Thu-Le Tran; Clément Elvira; Hong Phuong Dang; Cédric Herzet (EUSIPCO, 2022)

Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material. - Thu-Le Tran; Clément Elvira; Hong Phuong Dang; Cédric Herzet (CoRR, 2022)

One to beat them all: "RYU" - a unifying framework for the construction of safe balls. - Thu-Le Tran; Clément Elvira; Hong Phuong Dang; Cédric Herzet (CoRR, 2023)