A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data. - Trong Nghia Hoang; Quang Minh Hoang; Bryan Kian Hsiang Low (ICML, 2015)

A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models. - Trong Nghia Hoang; Quang Minh Hoang; Bryan Kian Hsiang Low (ICML, 2016)

A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. - Quang Minh Hoang; Trong Nghia Hoang; Kian Hsiang Low (AAAI, 2017)

Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. - Trong Nghia Hoang; Quang Minh Hoang; Ruofei Ouyang; Kian Hsiang Low (AAAI, 2018)

Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. - Trong Nghia Hoang; Quang Minh Hoang; Kian Hsiang Low; Jonathan P. How (CoRR, 2018)

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. - Trong Nghia Hoang; Quang Minh Hoang; Kian Hsiang Low; Jonathan P. How (AAAI, 2019)

Collective Model Fusion for Multiple Black-Box Experts. - Quang Minh Hoang; Trong Nghia Hoang; Bryan Kian Hsiang Low; Carl Kingsford (ICML, 2019)

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. - Quang Minh Hoang; Nghia Hoang; Hai Pham; David P. Woodruff (NeurIPS, 2020)

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. - Quang Minh Hoang; Trong Nghia Hoang; Hai Pham; David P. Woodruff (CoRR, 2020)

Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data. - Trevor S. Frisby; Shawn J. Baker; Guillaume Marçais; Quang Minh Hoang; Carl Kingsford; Christopher J. Langmead (BMC Bioinform., 2021)

Practical Methods for Automated Algorithm Design in Machine Learning and Computational Biology - Quang Minh Hoang (2023)