| 2026 | GECCO | Investigating Robustness in Vision-Language Models via Adversarial Prompt Illumination. | Thai Huy Nguyen, Khoa Tran, Quan Minh Phan, Ngoc Hoang Luong |
| 2026 | GECCO | Combining Policy Gradients with Quality-Diversity in Cooperative Multi-Agent Reinforcement Learning. | Hai-Dang Pham, Ngoc Hoang Luong |
| 2025 | GECCO | Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective Optimization. | Khang Gia Le, Ngoc Hoang Luong |
| 2025 | GECCO | Gradient-Free Sparse Adversarial Attack on Object Detection Models. | Chi Cuong Le, Tri Phan, Ngoc Hoang Luong |
| 2025 | GECCO | On the Investigation of Evolutionary Multi-Objective Optimization for Discrete Prompt Search. | Hieu-Hien Mai, Ngoc Hoang Luong |
| 2025 | GECCO | Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling Techniques. | Tuan Anh Nguyen, Ngoc Hoang Luong |
| 2025 | GECCO | Diversifying Adversarial Attacks on Text-to-image Generation. | Thai Huy Nguyen, Ngoc Hoang Luong |
| 2025 | GECCO | Evolutionary Black-box Patch Attacks on Face Verification. | Khoa Tran, Linh Ly, Ngoc Hoang Luong |
| 2024 | CEC | Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search. | Nhat Minh Le, An Vo, Ngoc Hoang Luong |
| 2024 | CEC | Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients. | Thai Bao Tran, Ngoc Hoang Luong |
| 2024 | GECCO | Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search. | Quan Minh Phan, Ngoc Hoang Luong |
| 2024 | GECCO | Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. | Tri Phan, Khang Tran, Ngoc Hoang Luong |
| 2024 | GECCO | THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search. | Hai Tran Thanh, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh |
| 2024 | GECCO | On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks. | Thai Bao Tran, Ngoc Hoang Luong |
| 2024 | GECCO | Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search. | An Vo, Ngoc Hoang Luong |
| 2023 | GECCO | Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics. | Thai Huy Nguyen, Ngoc Hoang Luong |
| 2023 | GECCO | Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search. | Quan Minh Phan, Ngoc Hoang Luong |
| 2023 | GECCO | A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control. | Hai-Long Tran, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh |
| 2023 | GECCO | Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow. | Khoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong |
| 2022 | CEC | Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control. | Hieu Trung Nguyen, Khang Tran, Ngoc Hoang Luong |
| 2022 | ICCCI | TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search. | Quan Minh Phan, Ngoc Hoang Luong |
| 2022 | IJCNN | TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search. | Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Hoang Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh |
| 2021 | GECCO | Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. | Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong |
| 2021 | ICONIP | Training-Free Multi-objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions. | Tu Do, Ngoc Hoang Luong |
| 2018 | GECCO | Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. | Ngoc Hoang Luong, Tanja Alderliesten, Peter A. N. Bosman |
| 2018 | PPSN | Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem. | G. H. Aalvanger, Ngoc Hoang Luong, Peter A. N. Bosman, Dirk Thierens |
| 2017 | GECCO | The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. | Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman |
| 2017 | GECCO | Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. | Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman |
| 2017 | GECCO | Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. | Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman |
| 2016 | GECCO | Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. | Peter A. N. Bosman, Ngoc Hoang Luong, Dirk Thierens |
| 2015 | GECCO | Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. | Ngoc Hoang Luong, Han La Poutr, Peter A. N. Bosman |
| 2014 | GECCO | Efficiency enhancements for evolutionary capacity planning in distribution grids. | Ngoc Hoang Luong, Marinus O. W. Grond, Han La Poutr, Peter A. N. Bosman |
| 2014 | GECCO | Multi-objective gene-pool optimal mixing evolutionary algorithms. | Ngoc Hoang Luong, Han La Poutr, Peter A. N. Bosman |