Dang Nguyen - RankMe

67 papers A* 7A 2B 2C 1Misc 1Journal 37Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models. CoRR Giang Ngo, Dat Phan-Trong, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
2026	J	`jnl`	High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions. CoRR Giang Ngo, Dat Phan-Trong, Dang Nguyen, Sunil Gupta
2025	—	`conf`	Bidirectional Diffusion Bridge Models. KDD (2) Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen
2025	J	`jnl`	Bidirectional Diffusion Bridge Models. CoRR Duc Kieu, Kien Do, Nguyen Thanh Binh, Dang Nguyen, Thin Nguyen
2025	J	`jnl`	Causal-Aware Generative Adversarial Networks with Reinforcement Learning. CoRR Tu Anh Hoang Nguyen, Dang Nguyen, Tri-Nhan Vo, Thuc Duy Le, Sunil Gupta
2025	J	`jnl`	Large Language Models for Imbalanced Classification: Diversity makes the difference. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Binh T. Nguyen, Taylor A. Braund, Alexis E. Whitton, Svetha Venkatesh
2025	J	`jnl`	Universal Multi-Domain Translation via Diffusion Routers. CoRR Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen
2024	J	`jnl`	Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. CoRR Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta
2024	A*	`conf`	COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. AAAI Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran
2024	J	`jnl`	Few-shot Algorithm Assurance. CoRR Dang Nguyen, Sunil Gupta
2024	A*	`conf`	Generating Realistic Tabular Data with Large Language Models. ICDM Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	Generating Realistic Tabular Data with Large Language Models. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	—	`conf`	Improving Diversity in Black-Box Few-Shot Knowledge Distillation. ECML/PKDD (2) Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta
2024	J	`jnl`	Predicting the Reliability of an Image Classifier under Image Distortion. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2024	A	`conf`	Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior. CoRR Giang Ngo, Dang Nguyen, Sunil Gupta
2024	J	`jnl`	Variational Flow Models: Flowing in Your Style. CoRR Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
2023	C	`conf`	Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. ACML Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta
2023	Misc	`conf`	On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. ICASSP Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho
2022	—	`conf`	Black-Box Few-Shot Knowledge Distillation. ECCV (21) Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2022	J	`jnl`	Black-box Few-shot Knowledge Distillation. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2022	—	`conf`	Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
2022	J	`jnl`	Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
2022	J	`jnl`	Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
2022	—	`conf`	Handling Missing Data with Markov Boundary. ADMA (1) Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen
2022	A*	`conf`	Improving Mini-batch Optimal Transport via Partial Transportation. ICML Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho
2022	A*	`conf`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	A*	`conf`	On Transportation of Mini-batches: A Hierarchical Approach. ICML Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
2022	—	`conf`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Adaptive cost-aware Bayesian optimization. Knowl. Based Syst. Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	An Efficient Mini-batch Method via Partial Transportation. CoRR Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho
2021	J	`jnl`	Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz
2021	J	`jnl`	Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
2021	—	`conf`	Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
2021	—	`conf`	Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh
2021	J	`jnl`	Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. CoRR Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho
2020	A*	`conf`	Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. AAAI Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
2020	—	`conf`	Bayesian Optimization with Missing Inputs. ECML/PKDD (2) Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	Bayesian Optimization with Missing Inputs. CoRR Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	A*	`conf`	DeepCoDA: personalized interpretability for compositional health data. ICML Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	DeepCoDA: personalized interpretability for compositional health data. CoRR Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	B	`conf`	Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. ICPR Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz
2019	J	`jnl`	Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. CoRR Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
2019	—	`conf`	Bayesian Optimization with Discrete Variables. Australasian Conference on Artificial Intelligence Phuc Luong, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
2019	—	`conf`	Detection of Compromised Models Using Bayesian Optimization. Australasian Conference on Artificial Intelligence Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
2019	J	`jnl`	Stable Bayesian Optimisation via Direct Stability Quantification. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen
2018	J	`jnl`	Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
2018	J	`jnl`	LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2018	A	`conf`	Learning Graph Representation via Frequent Subgraphs. SDM Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	—	`conf`	Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	—	`conf`	Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh
2016	J	`jnl`	A Parallel Strategy for the Logical-probabilistic Calculus-based Method to Calculate Two-terminal Reliability. Qual. Reliab. Eng. Int. Dang Nguyen, Bay Vo, Duc-Lung Vu
2016	J	`jnl`	Control Matching via Discharge Code Sequences. CoRR Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Efficient mining of class association rules with the itemset constraint. Knowl. Based Syst. Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Witold Pedrycz
2016	—	`conf`	Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	A Parallel Algorithm for Frequent Subgraph Mining. ICCSAMA Bay Vo, Dang Nguyen, Thanh-Long Nguyen
2015	J	`jnl`	A novel method for constrained class association rule mining. Inf. Sci. Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong
2015	J	`jnl`	CCAR: An efficient method for mining class association rules with itemset constraints. Eng. Appl. Artif. Intell. Dang Nguyen, Bay Vo, Bac Le
2015	—	`conf`	Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	A Novel Method for Mining Class Association Rules with Itemset Constraints. ICCCI Dang Nguyen, Bay Vo, Hoai Bac Le
2014	J	`jnl`	Efficient strategies for parallel mining class association rules. Expert Syst. Appl. Dang Nguyen, Bay Vo, Bac Le
2013	—	`conf`	Mining Class-Association Rules with Constraints. KSE (2) Dang Nguyen, Bay Vo