Author

Chang-Jun Fan

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Book Open access Aug 2026

A Perturbation-Augmented Unsupervised Learning Framework for Integer Linear Programming

Integer linear programming (ILP) plays a pivotal role in combinatorial optimization, with applications ranging from logistics to scheduling. Recently, unsupervised learning has emerged as a promising paradigm for solving ILPs without costly labeled solutions. However, existing methods often converge prematurely to pola...

Yufan Deng, Tian-Le Pu, Zhijing Hu et al. · Proceedings of the 32nd ACM... · 0 citations

Preprint Aug 2026

AutoSND: From Execution Evidence to Structural Policies for Automated Network Dismantling Heuristic Discovery

AutoSND is proposed, a three stage tree search framework for complete network dismantling and achieves better search performance and stability and discovers more competitive and structurally interpretable network disman- tling programs.

Zhijing Hu, Changjun Fan, Yufan Deng et al. · 0 citations