| 2026 | AAAI | Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling. | Azza Fadhel, Yassine Chemingui, Minh Hoang, Aryan Deshwal, Trong Nghia Hoang, Jana Doppa |
| 2025 | VCIP | Lightweight Motion-Vector-Based Segmentation Mask Tracking for Saliency-Based Rate Control. | Minh Hoang, Tero Partanen, Jarno Vanne, Alexandre Mercat |
| 2024 | AAAI | Few-Shot Learning via Repurposing Ensemble of Black-Box Models. | Minh Hoang, Trong Nghia Hoang |
| 2024 | ICLR | Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation. | Minh Hoang, Carl Kingsford |
| 2024 | ICML | Learning Surrogates for Offline Black-Box Optimization via Gradient Matching. | Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang |
| 2024 | RECOMB | A Scalable Optimization Algorithm for Solving the Beltway and Turnpike Problems with Uncertain Measurements. | C. S. Elder, Minh Hoang, Mohsen Ferdosi, Carl Kingsford |
| 2022 | RECOMB | DeepMinimizer: A Differentiable Framework for Optimizing Sequence-Specific Minimizer Schemes. | Minh Hoang, Hongyu Zheng, Carl Kingsford |
| 2020 | ICML | Optimizing Dynamic Structures with Bayesian Generative Search. | Minh Hoang, Carleton Kingsford |
| 2019 | IC3K | Multivariate Time Series Forecasting with Deep Learning Proceedings in Energy Consumption. | Ndra Mellouli, Mahdjouba Akerma, Minh Hoang, Denis Leducq, Anthony Delahaye |
| 2019 | ICCCI | Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room. | Ndra Mellouli, Mahdjouba Akerma, Minh Hoang, Denis Leducq, Anthony Delahaye |
| 2011 | ICSOC | Migratability of BPMN 2.0 Process Instances. | Angineh Barkhordarian, Frederik Demuth, Kristof Hamann, Minh Hoang, Sonja Weichler, Sonja Zaplata |