| 2025 | AAAI | BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings. | Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang |
| 2025 | ECAI | MOCA-HESP: Meta High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-Ellipsoid Partitioning. | Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang |
| 2025 | WWW | RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data. | Luan Pham, Hongyu Zhang, Huong Ha, Flora Salim, Xiuzhen Zhang |
| 2024 | GECCO | Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. | Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan |
| 2021 | AAAI | High Dimensional Level Set Estimation with Bayesian Neural Network. | Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2021 | GECCO | Bayesian preference learning for interactive multi-objective optimisation. | Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li |
| 2021 | ICML | Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. | Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne |
| 2020 | AISTATS | Distributionally Robust Bayesian Quadrature Optimization. | Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh |
| 2020 | SoMeT | SEED: A Framework for Stress Estimation Using Emotiv Devices. | Nhung Pham, Thuong Nguyen, Thinh Tran, Trung T. Nguyen, Huong Ha, Binh T. Nguyen |
| 2019 | ICSE | DeepPerf: performance prediction for configurable software with deep sparse neural network. | Huong Ha, Hongyu Zhang |