PRE-PRINT/WORKING PAPERS

• Dong Quan Vu, Patrick Loiseau and Alonso Silva. Approximate Equilibria in Generalized Colonel Blotto and Generalized Lottery Blotto Games. Pre-print arXiv:1909.04912

ARTICLES IN INTERNATIONAL REFEREED CONFERENCES

• Solene Thepaut, Sebastien Razakarivony, Dong Quan Vu and Alfred Bauny. 2024. A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines in the proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024).
• Dong Quan Vu Sebastien Razakarivony, Solene Thepaut, Guillaume Doquet, Yosra Marnissi and Michel Nocture. 2024. Aircraft Engines Performances Estimation from Multi-Point and Multi-Time Operational Data via Neural Networks in the proceedings of theIEEE Conference on Artificial Intelligence (IEEE CAI 2024).
• Dong Quan Vu Sebastien Razakarivony, Yosra Marnissi and Michel Nocture. 2024. A Comprehensive Literature Review On The Resolution Of Turbine Engine Performances’ Inverse Problems in the proceedings of the ASME Turbo Expo 2024.
• Dong Quan Vu, Yosra Marnissi, Sebastien Razakarivony and Michel Nocture. 2023. A constrained Langevin-adapted Particle Filter for Aircraft Engines’ Health Monitoring in the proceedings of the IEEE Conference on Artificial Intelligence (IEEE CAI 2023).
• Maxime Leiber, Yosra Marnissi, Sebastien Razakarivony and Dong Quan Vu. 2023. Eliminating External Factors with Variables Standardization for Monitoring Applications in the proceedings of the IEEE Conference on Artificial Intelligence (IEEE CAI 2023).
• Kimon Antonakopoulos, Dong Quan Vu, Panayotis Mertikopoulos, Kfir Levy, Volkan Cevher. 2022. Scaling up Universal Methods for Convex Optimization in the proceedings of the 39th International Conference on Machine Learning (ICML 2022).
• Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos. 2021. Fast Routing under Uncertainty: Adaptive Learning in Congestion Games with Exponential Weights. In the 35th Conference on Neural Information Processing Systems (Neurips 2021).
• Dong Quan Vu, Patrick Loiseau. 2021. Colonel Blotto Games with Favoritism: Competitions with Pre-allocations and Asymmetric Effectiveness. In the 22nd ACM Conference on Economics and Computation (EC' 21).
• Dong Quan Vu, Patrick Loiseau, Alonso Silva and Long tran-Thanh. 2020. Path Planning Problems with Side Observation-When Colonels Play Hide-and-Seek. In the 34th AAAI Conference on Artificial Intelligence (AAAI-2020).
• Dong Quan Vu, Patrick Loiseau and Alonso Silva. 2019. Combinatorial Bandits for Sequential Learning in Colonel Blotto Games. In the 58th IEEE Conference on Decision and Control (CDC 2019). Full-paper is accessible here.
• Dong Quan Vu, Patrick Loiseau and Alonso Silva. 2018. Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games. In Proc. 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018).
• Dong Quan Vu, Patrick Loiseau and Alonso Silva. 2018. A Simple and Efficient Algorithm to Compute Epsilon-Equilibria of Discrete Colonel Blotto Games. In Proc. of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), IFAAMAS, 3 pages.

ARTICLES IN JOURNALS

• Franco Quezada; Celine Gicquel; Safia Kedad-Sidhoum, Dong Quan VU. 2020. A Multi-stage Stochastic Integer Programming Approach for a Multi Echelon Lot-sizing Problem with Returns and Lost Sales. Computers & Operations Research Journal.

DISSERTATIONS

• Dong Quan Vu. 2020. Models and Solutions of Strategic Resource Allocation Problems: Approximate Equilibrium and Online Learning in Blotto Games. Ph.D. Thesis at EDITE Doctoral School-Sorbonne Université.
• Dong Quan Vu. 2016. Stochastic Programming Approaches For Planning Re-Manufacturing Activities Under Uncertain Demand And Returns Forecasts. Ms.C. Thesis at Université Paris Saclay.