Defeng Liu Student (Ph.D.), GERAD share Polytechnique Montréal defeng.liu@polymtl.ca Education since Sep 2017 Ph.D. On big data and machine learning Polytechnique Montréal – Department of Mathematics and Industrial Engineering, Andrea Lodi, co-director Publications Jul 2023 A machine learning framework for neighbor generation in metaheuristic search Defeng Liu, Vincent Perreault, Alain Hertz, and Andrea Lodi Frontiers in Applied Mathematics and Statistics, 9, Paper no: 1128181, 2023 BibTeX reference Jun 2022 Learning to search in Local Branching Defeng Liu, Matteo Fischetti, and Andrea Lodi Proceedings of the AAAI Conference on Artificial Intelligence, 36(4), 3796–3803, 2022 BibTeX reference Sep 2021 Learning chordal extensions Defeng Liu, Andrea Lodi, and Mathieu Tanneau Journal of Global Optimization , 81, 3–22, 2021 BibTeX reference 4 publications Events Dec 5, 202311:00 AM — 12:00 PM Adaptive Partitioning for Chance-Constrained Problems DS4DM Coffee Talk Marius Roland – Polytechnique Montréal Canada Excellence Research Chair in Data Science for Real-Time Decision-Making Hybrid seminar at GERAD Dec 5, 202311:00 AM — 12:00 PM A data-driven method for constraint customization in optimization models DS4DM Coffee Talk Mahdis Bayani – Polytechnique Montréal Canada Excellence Research Chair in Data Science for Real-Time Decision-Making Hybrid seminar at GERAD Nov 29, 202303:00 PM — 04:00 PM Demand Management in Shared Mobility Systems DS4DM Coffee Talk Matthias Sopper – University of the Bundeswehr Munich Canada Excellence Research Chair in Data Science for Real-Time Decision-Making Hybrid seminar at GERAD 34 activities
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