Viet Huynh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDE | An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data. | Trinh Pham, Thanh Tam Nguyen, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen |
| 2026 | IWCMC | ADCC-Bench: A Benchmark Framework for Anomaly Detection in Cryptocurrency Transactions. | Tan-Gia-Quoc Pham, Huynh Quoc Khanh, Nguyen Anh Khoa, Viet Huynh, Mohiuddin Ahmed, Trong-Nghia To, Van-Hau Pham, Phan The Duy |
| 2025 | ICDM | Neural Autoregressive Flows for Markov Boundary Learning. | Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen |
| 2025 | PAKDD | Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee. | Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen |
| 2023 | ICMLA | Rapid Identification of Protein Formulations with Bayesian Optimisation. | Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti |
| 2021 | ICLR | Neural Topic Model via Optimal Transport. | He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine |
| 2021 | IJCAI | Optimal Transport for Deep Generative Models: State of the Art and Research Challenges. | Viet Huynh, Dinh Q. Phung, He Zhao |
| 2021 | IJCAI | Topic Modelling Meets Deep Neural Networks: A Survey. | He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine |
| 2020 | IJCNN | Stein Variational Gradient Descent with Variance Reduction. | Nhan Dam, Trung Le, Viet Huynh, Dinh Phung |
| 2020 | IJCNN | OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. | Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung |
| 2019 | AISTATS | Probabilistic Multilevel Clustering via Composite Transportation Distance. | Nhat Ho, Viet Huynh, Dinh Q. Phung, Michael I. Jordan |
| 2017 | DSAA | Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data. | Nhan Dam, Dinh Q. Phung, Ba-Ngu Vo, Viet Huynh |
| 2017 | ICML | Multilevel Clustering via Wasserstein Means. | Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Q. Phung |
| 2017 | UAI | Supervised Restricted Boltzmann Machines. | Tu Dinh Nguyen, Dinh Q. Phung, Viet Huynh, Trung Le |
| 2016 | UAI | Scalable Nonparametric Bayesian Multilevel Clustering. | Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui |
| 2015 | ACML | Streaming Variational Inference for Dirichlet Process Mixtures. | Viet Huynh, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | PAKDD | Learning Conditional Latent Structures from Multiple Data Sources. | Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui |