Quang Minh Hoang

13 papers A* 7Journal 5

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Practical Methods for Automated Algorithm Design in Machine Learning and Computational Biology Quang Minh Hoang
2021	J	`jnl`	Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data. BMC Bioinform. Trevor S. Frisby, Shawn J. Baker, Guillaume Marçais, Quang Minh Hoang, Carl Kingsford, Christopher J. Langmead
2020	A*	`conf`	Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. NeurIPS Quang Minh Hoang, Nghia Hoang, Hai Pham, David P. Woodruff
2020	J	`jnl`	Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. CoRR Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff
2019	A*	`conf`	Collective Model Fusion for Multiple Black-Box Experts. ICML Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low, Carl Kingsford
2019	A*	`conf`	Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. AAAI Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
2018	J	`jnl`	Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. CoRR Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
2018	A*	`conf`	Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. AAAI Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low
2017	A*	`conf`	A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. AAAI Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
2017	J	`jnl`	Decentralized High-Dimensional Bayesian Optimization with Factor Graphs. CoRR Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low
2016	A*	`conf`	A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models. ICML Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
2016	J	`jnl`	A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. CoRR Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
2015	A*	`conf`	A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data. ICML Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski