Defeng Liu is currently doing his Ph.D. in Mathematics under the supervision of Prof. Andrea Lodi. His research focus on Mixed-Integer Programming, Mathematical Optimization, and Machine Learning. Namely, Defeng is interested in applying deep learning and reinforcement learning techniques in mixed integer programs to solve complex problems, aiming at bringing machine learning and operations research closer together.
Before joining the group, Defeng completed his master at CentraleSupélec (France) and holds two M.Sc.in Computer Science and System Engineering.
Publications
- Liu, Defeng, Andrea Lodi, and Mathieu Tanneau. “Learning chordal extensions.” Journal of Global Optimization (2021): 1-20.
- Liu, Defeng, Matteo Fischetti, and Andrea Lodi. “Learning to Search in Local Branching.” arXiv preprint arXiv:2112.02195(2021).