Streaming Variational Inference for Dirichlet Process Mixtures. - Viet Huynh; Dinh Q. Phung; Svetha Venkatesh (ACML, 2015)

Learning Conditional Latent Structures from Multiple Data Sources. - Viet Huynh; Dinh Q. Phung; XuanLong Nguyen; Svetha Venkatesh; Hung Hai Bui (PAKDD (1), 2015)

Scalable Nonparametric Bayesian Multilevel Clustering. - Viet Huynh; Dinh Q. Phung; Svetha Venkatesh; XuanLong Nguyen; Matthew D. Hoffman; Hung Hai Bui (UAI, 2016)

Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data. - Nhan Dam; Dinh Q. Phung; Ba-Ngu Vo; Viet Huynh (DSAA, 2017)

Multilevel Clustering via Wasserstein Means. - Nhat Ho; XuanLong Nguyen; Mikhail Yurochkin; Hung Hai Bui; Viet Huynh; Dinh Q. Phung (ICML, 2017)

Supervised Restricted Boltzmann Machines. - Tu Dinh Nguyen; Dinh Q. Phung; Viet Huynh; Trung Le 001 (UAI, 2017)

Streaming clustering with Bayesian nonparametric models. - Viet Huynh; Dinh Q. Phung (Neurocomputing, 2017)

Probabilistic Multilevel Clustering via Composite Transportation Distance. - Nhat Ho; Viet Huynh; Dinh Q. Phung; Michael I. Jordan (AISTATS, 2019)

On Scalable Variant of Wasserstein Barycenter. - Tam Le; Viet Huynh; Nhat Ho; Dinh Q. Phung; Makoto Yamada (CoRR, 2019)

Stein Variational Gradient Descent with Variance Reduction. - Nhan Dam; Trung Le 001; Viet Huynh; Dinh Phung 001 (IJCNN, 2020)

OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. - Mahmoud Hossam; Trung Le 001; Viet Huynh; Michael Papasimeon; Dinh Phung 001 (IJCNN, 2020)

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling. - Viet Huynh; He Zhao 001; Dinh Phung 001 (NeurIPS, 2020)

Neural Sinkhorn Topic Model. - He Zhao 001; Dinh Phung 001; Viet Huynh; Trung Le 001; Wray L. Buntine (CoRR, 2020)

Neural Topic Model via Optimal Transport. - He Zhao 001; Dinh Phung 001; Viet Huynh; Trung Le 001; Wray L. Buntine (ICLR, 2021)

Optimal Transport for Deep Generative Models: State of the Art and Research Challenges. - Viet Huynh; Dinh Q. Phung; He Zhao 001 (IJCAI, 2021)

Topic Modelling Meets Deep Neural Networks: A Survey. - He Zhao 001; Dinh Q. Phung; Viet Huynh; Yuan Jin; Lan Du 002; Wray L. Buntine (IJCAI, 2021)

Improved and Efficient Text Adversarial Attacks using Target Information. - Mahmoud Hossam; Trung Le 001; He Zhao 001; Viet Huynh; Dinh Phung 001 (CoRR, 2021)

Text Generation with Deep Variational GAN. - Mahmoud Hossam; Trung Le 001; Michael Papasimeon; Viet Huynh; Dinh Phung 001 (CoRR, 2021)

On efficient multilevel Clustering via Wasserstein distances. - Viet Huynh; Nhat Ho; Nhan Dam; XuanLong Nguyen; Mikhail Yurochkin; Hung Bui 001; Dinh Q. Phung (J. Mach. Learn. Res., 2021)

Rapid Identification of Protein Formulations with Bayesian Optimisation. - Viet Huynh; Buser Say; Peter Vogel; Lucy Cao; Geoffrey I. Webb; Aldeida Aleti (ICMLA, 2023)

Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee. - Khoa Nguyen; Viet Huynh; Binh Tran; Tri Pham; Tin Huynh; Thin Nguyen (PAKDD (3), 2025)