Viet Huynh
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Multilevel clustering via Wasserstein means
N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung
International conference on machine learning, 1501-1509, 2017
Topic modelling meets deep neural networks: A survey
H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine
arXiv preprint arXiv:2103.00498, 2021
Computing crowd consensus with partial agreement
NQV Hung, HH Viet, NT Tam, M Weidlich, H Yin, X Zhou
IEEE Transactions on Knowledge and Data Engineering 30 (1), 1-14, 2017
Neural topic model via optimal transport
H Zhao, D Phung, V Huynh, T Le, W Buntine
arXiv preprint arXiv:2008.13537, 2020
Otlda: A geometry-aware optimal transport approach for topic modeling
V Huynh, H Zhao, D Phung
Advances in Neural Information Processing Systems 33, 18573-18582, 2020
Probabilistic multilevel clustering via composite transportation distance
N Ho, V Huynh, D Phung, MI Jordan
AISTATS 2019, 2018
Streaming variational inference for dirichlet process mixtures
V Huynh, D Phung, S Venkatesh
Asian Conference on Machine Learning, 237-252, 2016
Scalable Nonparametric Bayesian Multilevel Clustering
V Huynh, D Phung, V Svetha, N Long, M Hoffman, H Bui
The 32th Conference on Uncertainty in Artificial Intelligence 45, 2887-2893, 2016
Streaming Clustering with Bayesian Nonparametric Models
V Huynh, D Phung
Neurocomputing, 2017
Optimal transport for deep generative models: State of the art and research challenges
V Huynh, D Phung
International Joint Conference on Artificial Intelligence 2021, 4450-4457, 2021
Supervised Restricted Boltzmann Machines
TD Nguyen, D Phung, V Huynh, T Le
The Conference on Uncertainty in Artificial Intelligence (UAI), 2017
Process mining and security: visualization in database intrusion detection
VH Huynh, ANT Le
Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2012 …, 2012
Text generation with deep variational GAN
M Hossam, T Le, M Papasimeon, V Huynh, D Phung
arXiv preprint arXiv:2104.13488, 2021
On scalable variant of Wasserstein barycenter
T Le, V Huynh, N Ho, D Phung, M Yamada
ArXiv Preprint 2019, 2, 1910
On efficient multilevel clustering via Wasserstein distances
V Huynh, N Ho, N Dam, XL Nguyen, M Yurochkin, H Bui, D Phung
Journal of Machine Learning Research 22 (145), 1-43, 2021
Learning conditional latent structures from multiple data sources
V Huynh, D Phung, L Nguyen, S Venkatesh, HH Bui
Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015
Multi-label answer aggregation for crowdsourcing
NT Tam, HH Viet, NQV Hung, M Weidlich, H Yin, X Zhou
Technique report, 1-13, 2016
M-tree as an index structure for time series data
HH Viet, DT Anh
2013 International Conference on Computing, Management and …, 2013
OptiGAN: Generative adversarial networks for goal optimized sequence generation
M Hossam, T Le, V Huynh, M Papasimeon, D Phung
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Tree-wasserstein barycenter for large-scale multilevel clustering and scalable bayes
T Le, V Huynh, N Ho, D Phung, M Yamada
arXiv preprint arXiv:1910.04483, 2019
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