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Qingyu Han

2 accepted papers

2024

SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization

NeurIPS 2024poster

Integer linear programs (ILPs) are commonly employed to model diverse practical problems such as scheduling and planning. Recently, machine learning techniques have been utilized to solve ILPs. A straightforward idea is to train a model via supervised learning, with an ILP as the input and an opti…

2023

A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming

ICLR 2023poster

Mixed-integer linear programming (MILP) is widely employed for modeling combinatorial optimization problems. In practice, similar MILP instances with only coefficient variations are routinely solved, and machine learning (ML) algorithms are capable of capturing common patterns across these MILP inst…