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Debing Wang

2 accepted papers

2026

UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization

AAAI 2026technical

Neural solvers have demonstrated remarkable success in combinatorial optimization, often surpassing traditional heuristics in speed, solution quality, and generalization. However, their efficacy deteriorates significantly when confronted with complex constraints that cannot be effectively managed th

Cited by 0SourcePDFScholar
2025

BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization

ICML 2025poster

Neural Combinatorial Optimization (NCO) has emerged as a promising approach for NP-hard problems. However, prevailing RL-based methods suffer from low sample efficiency due to sparse rewards and underused solutions. We propose *Best-anchored and Objective-guided Preference Optimization (BOPO)*, a tr…

Cited by 0SourcePDFScholar