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Fangzhou Zhu

Accelerate presolve in large-scale linear programming via reinforcement learning
Apollo-MILP: An alternating prediction-correction neural solving framework for mixed-integer linear programming
Differentiable integer linear programming
Learning to cut via hierarchical sequence/set model for efficient mixed-integer programming
Rethinking branching on exact combinatorial optimization solver: The first deep symbolic discovery framework
Towards general algorithm discovery for combinatorial optimization: Learning symbolic branching policy from bipartite graph

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