Bao Duong

Orcid: 0000-0001-9850-0270

According to our database1, Bao Duong authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering.
Knowl. Inf. Syst., September, 2024

Normalizing flows for conditional independence testing.
Knowl. Inf. Syst., January, 2024

Class-incremental learning with causal relational replay.
Expert Syst. Appl., 2024

ALIAS: DAG Learning with Efficient Unconstrained Policies.
CoRR, 2024

Domain Generalisation via Risk Distribution Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Robust Estimation of Causal Heteroscedastic Noise Models.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Scalable Variational Causal Discovery Unconstrained by Acyclicity.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Ethical Perception of AI-powered Information Security Technology.
Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024

2023
Distress Coping Responses Among Teleworkers.
IEEE Trans. Prof. Commun., September, 2023

Social Media in Emerging Economies: A Cross-Cultural Comparison.
IEEE Trans. Comput. Soc. Syst., 2023

Causal Inference via Style Transfer for Out-of-distribution Generalisation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Differentiable Bayesian Structure Learning with Acyclicity Assurance.
Proceedings of the IEEE International Conference on Data Mining, 2023

Heteroscedastic Causal Structure Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Diffeomorphic Information Neural Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Telework Distress and Eustress Among Chinese Teleworkers.
J. Glob. Inf. Manag., 2022

Eustress and Distress in the Context of Telework.
Inf. Resour. Manag. J., 2022

Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation.
CoRR, 2022

Causality-aided Recommendation Systems.
Proceedings of the International Joint Conference on Neural Networks, 2022

Conditional Independence Testing via Latent Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Bivariate Causal Discovery via Conditional Divergence.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Handling Missing Data with Markov Boundary.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Efficient Classification with Counterfactual Reasoning and Active Learning.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2020
Impact of Security-related Stress and Affective Distress on Information Security Policy Compliance.
Proceedings of the 26th Americas Conference on Information Systems, 2020

2019
How much is your private information? Does Privacy Calculus Matter?
Proceedings of the 25th Americas Conference on Information Systems, 2019


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