Viet Huynh

29 papers A* 6A 3B 3C 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data.
CoRR
Trinh Pham, Thanh Tam Nguyen, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen
2026 J jnl
Neural Autoregressive Flows for Markov Boundary Learning.
CoRR
Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2025 — conf
Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee.
PAKDD (3)
Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
2025 J jnl
Clustering-based Meta Bayesian Optimization with Theoretical Guarantee.
CoRR
Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
2025 A* conf
Neural Autoregressive Flows for Markov Boundary Learning.
ICDM
Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2023 C conf
Rapid Identification of Protein Formulations with Bayesian Optimisation.
ICMLA
Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti
2021 J jnl
Improved and Efficient Text Adversarial Attacks using Target Information.
CoRR
Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung
2021 A* conf
Neural Topic Model via Optimal Transport.
ICLR
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2021 J jnl
On efficient multilevel Clustering via Wasserstein distances.
J. Mach. Learn. Res.
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung
2021 A* conf
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges.
IJCAI
Viet Huynh, Dinh Q. Phung, He Zhao
2021 J jnl
Text Generation with Deep Variational GAN.
CoRR
Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung
2021 A* conf
Topic Modelling Meets Deep Neural Networks: A Survey.
IJCAI
He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2021 J jnl
Topic Modelling Meets Deep Neural Networks: A Survey.
CoRR
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2020 J jnl
Neural Sinkhorn Topic Model.
CoRR
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2020 A* conf
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling.
NeurIPS
Viet Huynh, He Zhao, Dinh Phung
2020 B conf
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation.
IJCNN
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
2020 J jnl
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation.
CoRR
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
2020 B conf
Stein Variational Gradient Descent with Variance Reduction.
IJCNN
Nhan Dam, Trung Le, Viet Huynh, Dinh Phung
2019 J jnl
On Efficient Multilevel Clustering via Wasserstein Distances.
CoRR
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung
2019 J jnl
On Scalable Variant of Wasserstein Barycenter.
CoRR
Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada
2019 A conf
Probabilistic Multilevel Clustering via Composite Transportation Distance.
AISTATS
Nhat Ho, Viet Huynh, Dinh Q. Phung, Michael I. Jordan
2018 J jnl
Probabilistic Multilevel Clustering via Composite Transportation Distance.
CoRR
Nhat Ho, Viet Huynh, Dinh Q. Phung, Michael I. Jordan
2017 B conf
Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data.
DSAA
Nhan Dam, Dinh Q. Phung, Ba-Ngu Vo, Viet Huynh
2017 A* conf
Multilevel Clustering via Wasserstein Means.
ICML
Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Q. Phung
2017 J jnl
Streaming clustering with Bayesian nonparametric models.
Neurocomputing
Viet Huynh, Dinh Q. Phung
2017 A conf
Supervised Restricted Boltzmann Machines.
UAI
Tu Dinh Nguyen, Dinh Q. Phung, Viet Huynh, Trung Le
2016 A conf
Scalable Nonparametric Bayesian Multilevel Clustering.
UAI
Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui
2015 — conf
Learning Conditional Latent Structures from Multiple Data Sources.
PAKDD (1)
Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
2015 C conf
Streaming Variational Inference for Dirichlet Process Mixtures.
ACML
Viet Huynh, Dinh Q. Phung, Svetha Venkatesh