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Viet H. Huynh

Observed names: Huynh, Viet, Viet Huynh
ORCID: 0000-0003-1308-1164
Observed ORCID: 0000-0003-1308-1164
OpenAlex ID: A5062170379
Topic Modelling Meets Deep Neural Networks: A Survey
2021 · He Zhao, Dinh Phung, et al. · International Joint Conference on Artificial Intelligence · 188
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Multilevel Clustering via Wasserstein Means
2017 · Ho, Nhat, Nguyen, XuanLong, et al. · arXiv (Cornell University) · 95
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Neural Topic Model via Optimal Transport
2020 · Zhao, He, Phung, Dinh, et al. · arXiv (Cornell University) · 53
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Probabilistic Multilevel Clustering via Composite Transportation Distance
2018 · Ho, Nhat, Huynh, Viet, et al. · arXiv (Cornell University) · 16
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Optimal Transport for Deep Generative Models: State of the Art and Research Challenges
2021 · Viet Huynh, Dinh Phung, et al. · International Joint Conference on Artificial Intelligence · 9
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Streaming clustering with Bayesian nonparametric models
2017 · Viet Huynh, Dinh Phung · Neurocomputing · 9
Scalable nonparametric Bayesian multilevel clustering
2016 · Viet Huynh, Dinh Phung, et al. · Figshare · 9
Streaming variational inference for dirichlet process mixtures
2015 · Viet Huynh, Dinh Phung, et al. · Deakin Research Online (Deakin University) · 8
Process Mining and Security: Visualization in Database Intrusion Detection
2012 · Viet H. Huynh, An N. T. Le · Lecture notes in computer science · 7
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation
2020 · Mahmoud Hossam, Trung Le, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
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Supervised Restricted Boltzmann Machines.
2017 · Tu Dinh Nguyen, Dinh Phung, et al. · Figshare · 6
Text Generation with Deep Variational GAN
2021 · Hossam, Mahmoud, Le, Trung, et al. · arXiv (Cornell University) · 5
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OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling
2020 · Viet Huynh, He Zhao, et al. · Monash University Research Portal (Monash University) · 5
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Tree-Wasserstein Barycenter for Large-Scale Multilevel Clustering and Scalable Bayes
2019 · Le, Tam, Huynh, Viet, et al. · arXiv (Cornell University) · 5
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Learning Conditional Latent Structures from Multiple Data Sources
2015 · Viet Huynh, Dinh Phung, et al. · Lecture notes in computer science · 5
On Efficient Multilevel Clustering via Wasserstein Distances
2019 · Huynh, Viet, Ho, Nhat, et al. · arXiv (Cornell University) · 4
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On Scalable Variant of Wasserstein Barycenter.
2019 · Tam Le, Viet Huynh, et al. · arXiv (Cornell University) · 3
Rapid Identification of Protein Formulations with Bayesian Optimisation
2023 · Viet Huynh, Buser Say, et al. · International Conference on Machine Learning and Applications · 2
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data
2026 · Trinh Pham, Thanh Tam Nguyen, et al. · IEEE International Conference on Data Engineering (ICDE) · 1
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A Bayesian Optimisation with segmentation approach to optimising liquid handling parameters
2025 · Estefania Yap, Viet Huynh, et al. · Journal of Process Control · 1
Stein Variational Gradient Descent with Variance Reduction
2020 · Nhan Dam, Trung Le, et al. · International Joint Conference on Neural Networks (IJCNN) · 1
Egobile: where social networks go mobile
2011 · Hung Q. Tao, Yen-Vy L. Nguyen, et al. · International Conference on Information Integration and Web-based Applications & Services (iiWAS) · 1
Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning
2026 · Trinh Pham, Viet Huynh, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Neural Autoregressive Flows for Markov Boundary Learning
2025 · Khoa Nguyen, Bao Duong, et al. · Proceedings
Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee
2025 · Khoa Nguyen, Viet Huynh, et al. · Lecture notes in computer science
Works count: 30
Citation count: 439
H-index: 8
I10-index: 4
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