STAFF PROFILE
Dr Huong Ha
Position:
Lecturer in Computer Science
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Email:
huong.ha@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Dr. Huong Ha is a lecturer in Computer Science & Information Technology at School of Science. Her research interests include trustworthy machine learning, automated machine learning, and data-driven software engineering.
- Ph.D., The University of Newcastle (Australia)
- B.Sc., Portland State University (USA)
2017-2018, Data Scientist, Freelancer International Pty Limited, Sydney, NSW, Australia
- Ngo, L.,Ha, H.,Chan, J.,Nguyen, V.,Zhang, H. (2024). High-dimensional bayesian optimization via covariance matrix adaptation strategy In: Transaction of Machine Learning Research, , 1 - 31
- Wan, X.,Nguyen, V.,Ha, H.,Ru, B.,Lu, C.,Osborne, M. (2021). Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Online, 18-24 July 2021
- Ha, H.,Gupta, S.,Rana, S.,Venkatesh, S. (2021). High Dimensional Level Set Estimation with Bayesian Neural Network In: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, Online, 2-9 February 2021
- Taylor, K.,Ha, H.,Li, M.,Chan, J.,Li, X. (2021). Bayesian Preference Learning for Interactive Multi-objective Optimisation In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2021), Lille, France, 10 -14 July 2021
- Tran-The, H.,Gupta, S.,Rana, S.,Ha, H.,Venkatesh, S. (2020). Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces In: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 6-12 December 2020
- Nguyen, T.,Gupta, S.,Ha, H.,Rana, S.,Venkatesh, S. (2020). Distributionally Robust Bayesian Quadrature Optimization In: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), Online, 3-5 June 2020
- Ha, H.,Rana, S.,Gupta, S.,Nguyen, T.,Tran-The, H.,Venkatesh, S. (2019). Bayesian Optimization with Unknown Search Space In: Proceedings of the Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 8-14 December 2019
- Ha, H.,Zhang, H. (2019). Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression In: Proceedings - 2019 IEEE International Conference on Software Maintenance and Evolution, Cleveland, United States, 29 September - 4 October 2019
- Ha, H.,Zhang, H. (2019). DeepPerf: Performance Prediction for Configurable Software with Deep Sparse Neural Network In: Proceedings of the IEEE/ACM 41st International Conference on Software Engineering (ICSE 2019), Montreal, Canada, 25-31 May 2019
- Ha, H.,Welsh, J.,Alamir, M. (2018). Useful redundancy in parameter and time delay estimation for continuous-time models In: Automatica, 95, 455 - 462
- Intelligent Incident Management for Software-Intensive Systems (Administered by University of Newcastle). Funded by: ARC Discovery Projects commencing in 2022 from (2022 to 2024)
6 PhD Current Supervisions