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Journal Articles
- 2024
[j7]Toan Nguyen
, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le:
Class-incremental learning with causal relational replay. Expert Syst. Appl. 250: 123901 (2024)- [j6]Bao Duong, Thin Nguyen:
Normalizing flows for conditional independence testing. Knowl. Inf. Syst. 66(1): 357-380 (2024) - [j5]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering. Knowl. Inf. Syst. 66(9): 5605-5630 (2024) - 2023
- [j4]Thomas F. Stafford, Bao Duong:
Social Media in Emerging Economies: A Cross-Cultural Comparison. IEEE Trans. Comput. Soc. Syst. 10(3): 1160-1178 (2023) - [j3]Bao Duong, Jaeung Lee, Craig Van Slyke, T. Selwyn Ellis:
Distress Coping Responses Among Teleworkers. IEEE Trans. Prof. Commun. 66(3): 259-283 (2023) - 2022
- [j2]Craig Van Slyke, Jae Ung Lee, Bao Duong, T. Selwyn Ellis:
Eustress and Distress in the Context of Telework. Inf. Resour. Manag. J. 35(1): 1-24 (2022) - [j1]Craig Van Slyke, Jaeung Lee, Bao Duong, Xiangyang Ma, Hao Lou:
Telework Distress and Eustress Among Chinese Teleworkers. J. Glob. Inf. Manag. 30(1): 1-29 (2022)
Conference and Workshop Papers
- 2024
- [c16]Bao Duong:
Ethical Perception of AI-powered Information Security Technology. AMCIS 2024 - [c15]Nu Hoang, Bao Duong, Thin Nguyen:
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. ECAI 2024: 2661-2668 - [c14]Nu Hoang, Bao Duong, Thin Nguyen:
Scalable Variational Causal Discovery Unconstrained by Acyclicity. ECAI 2024: 2685-2692 - [c13]Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen:
Robust Estimation of Causal Heteroscedastic Noise Models. SDM 2024: 788-796 - [c12]Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen:
Domain Generalisation via Risk Distribution Matching. WACV 2024: 2778-2787 - 2023
- [c11]Bao Duong, Thin Nguyen:
Diffeomorphic Information Neural Estimation. AAAI 2023: 7468-7475 - [c10]Bao Duong, Thin Nguyen:
Heteroscedastic Causal Structure Learning. ECAI 2023: 598-605 - [c9]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. ICDM 2023: 598-607 - [c8]Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD 2023: 1746-1757 - 2022
- [c7]Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen:
Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) 2022: 27-38 - [c6]Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen:
Handling Missing Data with Markov Boundary. ADMA (1) 2022: 319-333 - [c5]Bao Duong, Thin Nguyen:
Bivariate Causal Discovery via Conditional Divergence. CLeaR 2022: 236-252 - [c4]Bao Duong, Thin Nguyen:
Conditional Independence Testing via Latent Representation Learning. ICDM 2022: 121-130 - [c3]Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen:
Causality-aided Recommendation Systems. IJCNN 2022: 1-8 - 2020
- [c2]Bao Duong:
Impact of Security-related Stress and Affective Distress on Information Security Policy Compliance. AMCIS 2020 - 2019
- [c1]Bao Duong, Sung Simon Jin, Jaeung Lee:
How much is your private information? Does Privacy Calculus Matter? AMCIS 2019
Informal and Other Publications
- 2024
- [i11]Nu Hoang, Bao Duong, Thin Nguyen:
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. CoRR abs/2407.04980 (2024) - [i10]Nu Hoang, Bao Duong, Thin Nguyen:
Scalable Variational Causal Discovery Unconstrained by Acyclicity. CoRR abs/2407.04992 (2024) - [i9]Bao Duong, Hung Le, Thin Nguyen:
ALIAS: DAG Learning with Efficient Unconstrained Policies. CoRR abs/2408.13448 (2024) - 2023
- [i8]Bao Duong, Thin Nguyen:
Heteroscedastic Causal Structure Learning. CoRR abs/2307.07973 (2023) - [i7]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. CoRR abs/2309.01392 (2023) - [i6]Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen:
Domain Generalisation via Risk Distribution Matching. CoRR abs/2310.18598 (2023) - [i5]Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen:
Robust Estimation of Causal Heteroscedastic Noise Models. CoRR abs/2312.10102 (2023) - 2022
- [i4]Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen:
Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR abs/2207.12086 (2022) - [i3]Bao Duong, Thin Nguyen:
Conditional Independence Testing via Latent Representation Learning. CoRR abs/2209.01547 (2022) - [i2]Bao Duong, Thin Nguyen:
Diffeomorphic Information Neural Estimation. CoRR abs/2211.10856 (2022) - [i1]Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR abs/2212.03063 (2022)
Coauthor Index
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