Huong Ha
Orcid: 0000-0003-2463-7770Affiliations:
- RMIT University, School of Computing Technologies, Melbourne, Australia
- Deakin University, Applied Artificial Intelligence Institute, Geelong, VIC, Australia (2018 - 2020)
- University of Newcastle, School of Electrical Engineering and Computer Science, NSW, Australia (PhD 2017)
According to our database1,
Huong Ha
authored at least 24 papers
between 2011 and 2025.
Collaborative distances:
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Timeline
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Online presence:
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on scopus.com
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on rmit.edu.au
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on orcid.org
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Bibliography
2025
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Trans. Mach. Learn. Res., 2024
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection.
Proc. ACM Softw. Eng., 2024
Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation.
CoRR, 2023
2022
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks.
CoRR, 2022
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems.
CoRR, 2022
2021
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms.
CoRR, 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019
DeepPerf: performance prediction for configurable software with deep sparse neural network.
Proceedings of the 41st International Conference on Software Engineering, 2019
2018
Autom., 2018
2016
Parameter and delay estimation of continuous-time models utilizing multiple filtering.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Model order selection for continuous time instrumental variable methods using regularization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2011
Proceedings of the Trust Management V, 5th IFIP WG 11.11 International Conference, 2011