Dang Nguyen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Association Rules

Top Venues

Knowl. Based Syst.

Australasian Conference on Artificial Intelligence

Publications

Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR (2024)
Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. CoRR (2024)
Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. ICASSP (2023)
Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. ACML (2023)
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR (2022)
Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
Black-box Few-shot Knowledge Distillation. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS (2022)
Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. 241 (2022)
Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
Black-Box Few-Shot Knowledge Distillation. ECCV (21) (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) (2022)
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) (2021)
Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz
Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. 229 (2021)
Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh
Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) (2021)
Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. 576 (2021)
Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
Adaptive cost-aware Bayesian optimization. Knowl. Based Syst. 232 (2021)
Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
Bayesian Optimization with Missing Inputs. CoRR (2020)
Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. ICPR (2020)
Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz
Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. 161 (2020)
Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
Bayesian Optimization with Missing Inputs. ECML/PKDD (2) (2020)
Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
DeepCoDA: personalized interpretability for compositional health data. CoRR (2020)
Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
DeepCoDA: personalized interpretability for compositional health data. ICML (2020)
Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. AAAI (2020)
Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. CoRR (2019)
Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
Detection of Compromised Models Using Bayesian Optimization. Australasian Conference on Artificial Intelligence (2019)
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen
Stable Bayesian Optimisation via Direct Stability Quantification. CoRR (2019)
Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) (2018)
Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
Learning Graph Representation via Frequent Subgraphs. SDM (2018)
Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. 42 (5) (2018)
Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) (2018)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. 161 (2018)
Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Witold Pedrycz
Efficient mining of class association rules with the itemset constraint. Knowl. Based Syst. 103 (2016)
Dang Nguyen, Bay Vo, Duc-Lung Vu
A Parallel Strategy for the Logical-probabilistic Calculus-based Method to Calculate Two-terminal Reliability. Qual. Reliab. Eng. Int. 32 (7) (2016)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence (2016)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
Control Matching via Discharge Code Sequences. CoRR (2016)
Dang Nguyen, Bay Vo, Bac Le
CCAR: An efficient method for mining class association rules with itemset constraints. Eng. Appl. Artif. Intell. 37 (2015)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence (2015)
Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong
A novel method for constrained class association rule mining. Inf. Sci. 320 (2015)
Bay Vo, Dang Nguyen, Thanh-Long Nguyen
A Parallel Algorithm for Frequent Subgraph Mining. ICCSAMA (2015)
Dang Nguyen, Bay Vo, Hoai Bac Le
A Novel Method for Mining Class Association Rules with Itemset Constraints. ICCCI (2014)
Dang Nguyen, Bay Vo, Bac Le
Efficient strategies for parallel mining class association rules. Expert Syst. Appl. 41 (10) (2014)
Dang Nguyen, Bay Vo
Mining Class-Association Rules with Constraints. KSE (2) (2013)