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Dang Nguyen 0002
Person information
- affiliation: Deakin University, Geelong, Australia
- affiliation: Ton Duc Thang University, Ho Chi Minh City, Vietnam
Other persons with the same name
- Dang Nguyen — disambiguation page
- Dang Nguyen 0001 — University of Texas at San Antonio
- Dang Nguyen 0003 — Commun. Res. Centre, Ottawa, ON, Canada (and 1 more)
- Dang Nguyen 0004 — Fac. of Inf., Univ. of Sci., Ho Chi Minh City, Vietnam
- Dang Nguyen 0005 — Otis Elevator Company, Farmington, CT, USA
- Dang Nguyen 0006 — University of Chicago, IL, USA
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2020 – today
- 2024
- [c28]Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran:
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. AAAI 2024: 2436-2444 - [c27]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. ECAI 2024: 3120-3127 - [c26]Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta:
Improving Diversity in Black-Box Few-Shot Knowledge Distillation. ECML/PKDD (2) 2024: 178-196 - [i16]Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen:
Variational Flow Models: Flowing in Your Style. CoRR abs/2402.02977 (2024) - [i15]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 abs/2402.03577 (2024) - [i14]Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta:
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. CoRR abs/2402.16237 (2024) - [i13]Giang Ngo, Dang Nguyen, Sunil Gupta:
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior. CoRR abs/2410.05660 (2024) - 2023
- [c25]Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta:
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. ACML 2023: 943-958 - [c24]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: 1-5 - 2022
- [j12]Deepthi Praveenlal Kuttichira, Sunil Gupta
Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. 241: 108238 (2022) - [c23]Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) 2022: 27-38 - [c22]Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols
Handling Missing Data with Markov Boundary. ADMA (1) 2022: 319-333 - [c21]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-Box Few-Shot Knowledge Distillation. ECCV (21) 2022: 196-211 - [c20]Kien Do
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) 2022: 283-300 - [c19]Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho:
On Transportation of Mini-batches: A Hierarchical Approach. ICML 2022: 16622-16655 - [c18]Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho:
Improving Mini-batch Optimal Transport via Partial Transportation. ICML 2022: 16656-16690 - [c17]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 - [i12]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR abs/2202.12154 (2022) - [i11]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 abs/2205.06404 (2022) - [i10]Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen:
Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR abs/2207.12086 (2022) - [i9]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-box Few-shot Knowledge Distillation. CoRR abs/2207.12106 (2022) - [i8]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 abs/2209.10359 (2022) - 2021
- [j11]Dang Nguyen, Sunil Gupta, Santu Rana
Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. 576: 542-556 (2021) - [j10]Dang Nguyen
Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. 229: 107382 (2021) - [j9]Phuc Luong
Adaptive cost-aware Bayesian optimization. Knowl. Based Syst. 232: 107481 (2021) - [c16]Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana
Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) 2021: 250-265 - [c15]Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana
Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) 2021: 330-345 - [i7]Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho:
An Efficient Mini-batch Method via Partial Transportation. CoRR abs/2108.09645 (2021) - [i6]Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho:
Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. CoRR abs/2110.15538 (2021) - 2020
- [j8]Dang Nguyen
Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. 161: 113670 (2020) - [c14]Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. AAAI 2020: 5256-5263 - [c13]Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh:
DeepCoDA: personalized interpretability for compositional health data. ICML 2020: 7877-7886 - [c12]Cheng Li, Santu Rana
Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. ICPR 2020: 3288-3295 - [c11]Phuc Luong
Bayesian Optimization with Missing Inputs. ECML/PKDD (2) 2020: 691-706 - [i5]Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh:
DeepCoDA: personalized interpretability for compositional health data. CoRR abs/2006.01392 (2020) - [i4]Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimization with Missing Inputs. CoRR abs/2006.10948 (2020)
2010 – 2019
- 2019
- [c10]Phuc Luong
Bayesian Optimization with Discrete Variables. Australasian Conference on Artificial Intelligence 2019: 473-484 - [c9]Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Detection of Compromised Models Using Bayesian Optimization. Australasian Conference on Artificial Intelligence 2019: 485-496 - [i3]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen:
Stable Bayesian Optimisation via Direct Stability Quantification. CoRR abs/1902.07846 (2019) - [i2]Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. CoRR abs/1911.12473 (2019) - 2018
- [j7]Dang Nguyen
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. 42(5): 94:1-94:13 (2018) - [j6]Dang Nguyen
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. 161: 313-328 (2018) - [c8]Dang Nguyen
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) 2018: 361-372 - [c7]Dang Nguyen, Wei Luo
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) 2018: 569-584 - [c6]Dang Nguyen
Learning Graph Representation via Frequent Subgraphs. SDM 2018: 306-314 - 2016
- [j5]Dang Nguyen
Efficient mining of class association rules with the itemset constraint. Knowl. Based Syst. 103: 73-88 (2016) - [j4]Dang Nguyen
A Parallel Strategy for the Logical-probabilistic Calculus-based Method to Calculate Two-terminal Reliability. Qual. Reliab. Eng. Int. 32(7): 2313-2327 (2016) - [c5]Dang Nguyen
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence 2016: 455-468 - [i1]Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Control Matching via Discharge Code Sequences. CoRR abs/1612.01812 (2016) - 2015
- [j3]Dang Nguyen
CCAR: An efficient method for mining class association rules with itemset constraints. Eng. Appl. Artif. Intell. 37: 115-124 (2015) - [j2]Dang Nguyen
A novel method for constrained class association rule mining. Inf. Sci. 320: 107-125 (2015) - [c4]Dang Nguyen
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence 2015: 431-443 - [c3]Bay Vo, Dang Nguyen
A Parallel Algorithm for Frequent Subgraph Mining. ICCSAMA 2015: 163-173 - 2014
- [j1]Dang Nguyen
Efficient strategies for parallel mining class association rules. Expert Syst. Appl. 41(10): 4716-4729 (2014) - [c2]Dang Nguyen
A Novel Method for Mining Class Association Rules with Itemset Constraints. ICCCI 2014: 494-503 - 2013
- [c1]Dang Nguyen
Mining Class-Association Rules with Constraints. KSE (2) 2013: 307-318
Coauthor Index
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