Dang Nguyen

According to our database, Dang Nguyen authored at least 47 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Generating Realistic Tabular Data with Large Language Models.

Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh

CoRR, 2024

Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior.

Giang Ngo, Dang Nguyen, Sunil Gupta

CoRR, 2024

Variational Flow Models: Flowing in Your Style.

Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen

CoRR, 2024

Improving Diversity in Black-Box Few-Shot Knowledge Distillation.

Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Revisiting the Dataset Bias Problem from a Statistical Perspective.

Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks.

Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks.

Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho

Proceedings of the IEEE International Conference on Acoustics, 2023

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee.

Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Verification of integrity of deployed deep learning models using Bayesian Optimization.

Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh

Knowl. Based Syst., 2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.

Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Mini-batch Optimal Transport via Partial Transportation.

Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho

Proceedings of the International Conference on Machine Learning, 2022

On Transportation of Mini-batches: A Hierarchical Approach.

Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho

Proceedings of the International Conference on Machine Learning, 2022

Black-Box Few-Shot Knowledge Distillation.

Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering.

Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh

Proceedings of the Computer Vision - ECCV 2022, 2022

Handling Missing Data with Markov Boundary.

Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Efficient Classification with Counterfactual Reasoning and Active Learning.

Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Con2Vec: Learning embedding representations for contrast sets.

Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz

Knowl. Based Syst., 2021

Adaptive cost-aware Bayesian optimization.

Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

Knowl. Based Syst., 2021

Fairness improvement for black-box classifiers with Gaussian process.

Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh

Inf. Sci., 2021

Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment.

Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho

CoRR, 2021

An Efficient Mini-batch Method via Partial Transportation.

Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho

CoRR, 2021

Fast Conditional Network Compression Using Bayesian HyperNetworks.

Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge Distillation with Distribution Mismatch.

Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Succinct contrast sets via false positive controlling with an application in clinical process redesign.

Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz

Expert Syst. Appl., 2020

Bayesian Optimization with Missing Inputs.

Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling.

Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

DeepCoDA: personalized interpretability for compositional health data.

Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh

Proceedings of the 37th International Conference on Machine Learning, 2020

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs.

Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Stable Bayesian Optimisation via Direct Stability Quantification.

Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen

CoRR, 2019

Bayesian Optimization with Discrete Variables.

Phuc Luong, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Detection of Compromised Models Using Bayesian Optimization.

Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Knowl. Based Syst., 2018

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.

Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung

J. Medical Syst., 2018

Learning Graph Representation via Frequent Subgraphs.

Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint.

Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets.

Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2016

A Parallel Strategy for the Logical-probabilistic Calculus-based Method to Calculate Two-terminal Reliability.

Dang Nguyen, Bay Vo, Duc-Lung Vu

Qual. Reliab. Eng. Int., 2016

Efficient mining of class association rules with the itemset constraint.

Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Witold Pedrycz

Knowl. Based Syst., 2016

Control Matching via Discharge Code Sequences.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

CoRR, 2016

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

A novel method for constrained class association rule mining.

Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong

Inf. Sci., 2015

CCAR: An efficient method for mining class association rules with itemset constraints.

Dang Nguyen, Bay Vo, Bac Le

Eng. Appl. Artif. Intell., 2015

A Parallel Algorithm for Frequent Subgraph Mining.

Bay Vo, Dang Nguyen, Thanh-Long Nguyen

Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014

Efficient strategies for parallel mining class association rules.

Dang Nguyen, Bay Vo, Bac Le

Expert Syst. Appl., 2014

A Novel Method for Mining Class Association Rules with Itemset Constraints.

Dang Nguyen, Bay Vo, Hoai Bac Le

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014

2013

Mining Class-Association Rules with Constraints.

Dang Nguyen, Bay Vo

Proceedings of the Knowledge and Systems Engineering, 2013