| DeepPerf: performance prediction for configurable software with deep sparse neural network H Ha, H Zhang The 41st International Conference on Software Engineering (ICSE'19), 1095-1106, 2019 | 101 | 2019 |
| Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne International Conference on Machine Learning (ICML'21), 2021 | 57 | 2021 |
| Distributionally Robust Bayesian Quadrature Optimization TT Nguyen, S Gupta, H Ha, S Rana, S Venkatesh International Conference on Artificial Intelligence and Statistics (AISTATS'20), 2020 | 34 | 2020 |
| Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression H Ha, H Zhang International Conference on Software Maintenance and Evolution (ICSME'19 …, 2019 | 31 | 2019 |
| Bayesian Optimization with Unknown Search Space H Ha, S Rana, S Gupta, T Nguyen, H Tran-The, S Venkatesh Advances in Neural Information Processing Systems (NeurIPS'19), 2019 | 29 | 2019 |
| Useful redundancy in parameter and time delay estimation for continuous-time models H Ha, JS Welsh, M Alamir Automatica 95, 455-462, 2018 | 24 | 2018 |
| Bayesian preference learning for interactive multi-objective optimisation K Taylor, H Ha, M Li, J Chan, X Li Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2021 | 14 | 2021 |
| High Dimensional Level Set Estimation with Bayesian Neural Network H Ha, S Gupta, S Rana, S Venkatesh The 35th AAAI Conference on Artificial Intelligence (AAAI'21), 2021 | 10 | 2021 |
| Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models H Ha, JS Welsh 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), 2597-2602, 2014 | 8 | 2014 |
| Reweighted nuclear norm regularization: A SPARSEVA approach H Ha, JS Welsh, N Blomberg, CR Rojas, B Wahlberg 2015 IFAC Symposium on System Identification (SYSID) 48 (28), 1172-1177, 2015 | 7 | 2015 |
| Parameter and delay estimation of continuous-time models utilizing multiple filtering H Ha, JS Welsh 2016 IEEE 55th Annual Conference on Decision and Control (CDC), 1205-1210, 2016 | 6 | 2016 |
| Model Order Selection for Continuous Time Instrumental Variable Methods Using Regularization H Ha, JS Welsh 2015 IEEE 54th Annual Conference on Decision and Control (CDC), 771-776, 2015 | 5 | 2015 |
| An analysis of the SPARSEVA estimate for the finite sample data case H Ha, JS Welsh, CR Rojas, B Wahlberg Automatica 96, 141-149, 2018 | 3 | 2018 |
| Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation H Ha, V Nguyen, H Tran-The, H Zhang, X Zhang, A Hengel arXiv preprint arXiv:2306.06844, 2023 | 2 | 2023 |
| BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection L Pham, H Ha, H Zhang Proceedings of the ACM on Software Engineering (PACMSE) 1 (FSE), 2024 | 1 | 2024 |
| An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems H Ha ML Safety Workshop at NeurIPS'22, 2022 | 1 | 2022 |
| Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces H Tran-The, S Gupta, S Rana, H Ha, S Venkatesh Advances in Neural Information Processing Systems (NeurIPS'20), 2020 | 1* | 2020 |
| Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We? L Pham, H Ha, H Zhang Proceedings of the IEEE/ACM International Conference on Automated Software …, 2024 | | 2024 |
| Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation KP Taylor, H Ha, M Li, X Li, J Chan Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | | 2024 |
| High-dimensional bayesian optimization via covariance matrix adaptation strategy L Ngo, H Ha, J Chan, V Nguyen, H Zhang Transaction of Machine Learning Research, 2024 | | 2024 |
Hongyu ZhangChongqing University在 newcastle.edu.au 的电子邮件经过验证
