| 2026 | CP | On the Effect of Training Data Selection in Automated Algorithm Selection. | Erdem Kus, zgr Akgn, Nguyen Dang, Lars Kotthoff, Ian Miguel |
| 2025 | CP | Constraint Models for Klondike. | Nguyen Dang, Ian P. Gent, Peter Nightingale, Felix Ulrich-Oltean, Jack Waller |
| 2025 | CP | Transformer-Based Feature Learning for Algorithm Selection in Combinatorial Optimisation. | Alessio Pellegrino, zgr Akgn, Nguyen Dang, Zeynep Kiziltan, Ian Miguel |
| 2025 | FOGA | Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning. | Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang |
| 2025 | GECCO | On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GA. | Tai Nguyen, Phong Le, Andr Biedenkapp, Carola Doerr, Nguyen Dang |
| 2024 | CP | Frugal Algorithm Selection (Short Paper). | Erdem Kus, zgr Akgn, Nguyen Dang, Ian Miguel |
| 2023 | FOGA | Using Automated Algorithm Configuration for Parameter Control. | Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang |
| 2022 | CP | A Framework for Generating Informative Benchmark Instances. | Nguyen Dang, zgr Akgn, Joan Espasa, Ian Miguel, Peter Nightingale |
| 2022 | GECCO | Theory-inspired parameter control benchmarks for dynamic algorithm configuration. | Andr Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr |
| 2020 | AAAI | American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract). | Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka |
| 2020 | CPAIOR | Discriminating Instance Generation from Abstract Specifications: A Case Study with CP and MIP. | zgr Akgn, Nguyen Dang, Ian Miguel, Andrs Z. Salamon, Patrick Spracklen, Christopher Stone |
| 2019 | CP | Instance Generation via Generator Instances. | zgr Akgn, Nguyen Dang, Ian Miguel, Andrs Z. Salamon, Christopher Stone |
| 2019 | CP | Automatic Detection of At-Most-One and Exactly-One Relations for Improved SAT Encodings of Pseudo-Boolean Constraints. | Carlos Anstegui, Miquel Bofill, Jordi Coll, Nguyen Dang, Juan Luis Esteban, Ian Miguel, Peter Nightingale, Andrs Z. Salamon, Josep Suy, Mateu Villaret |
| 2019 | CP | Automatic Streamlining for Constrained Optimisation. | Patrick Spracklen, Nguyen Dang, zgr Akgn, Ian Miguel |
| 2019 | GECCO | Hyper-parameter tuning for the (1 + ( | Nguyen Dang, Carola Doerr |
| 2019 | IJCAI | Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence. | Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale |
| 2017 | GECCO | Configuring irace using surrogate configuration benchmarks. | Nguyen Dang, Leslie Prez Cceres, Patrick De Causmaecker, Thomas Sttzle |
| 2011 | ACIIDS | An Approximation Approach for a Real-World Variant of Vehicle Routing Problem. | Khoa Trinh, Nguyen Dang, Tien Ba Dinh |
| 2011 | ICNC | A multi-stage local search for a real-world vehicle routing problem. | Nguyen Dang, Tien Ba Dinh |