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Shiyue Wang

2 accepted papers

2026

ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types

ICLR 2026poster

Considerable efforts have been devoted to machine learning (ML) for combinatorial optimization (CO) problems, especially on graphs. Compared to the active and well-established research for representation learning of text and vision, etc., it remains under-studied for the representation learning of C…

Cited by 0SourceScholar
2025

Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape

NeurIPS 2025poster

Langevin Dynamics (LD) and its discrete proposal have been widely applied in the field of Combinatorial Optimization (CO). Both sampling-based and data-driven approaches have benefited significantly from these methods. However, LD's reliance on Gaussian noise limits its ability to escape narrow loca…

Cited by 0SourceScholar