Author

Chenguang Wang

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#artificial intelligence Preprint Sep 2026

Rethinking Learnability in Offline Data-driven Optimization

A trajectory-learning framework comprising trajectory construction, trajectory modeling, and candidate generation is formalized, and existing trajectory-based methods under it are analyzed and Uncertainty-aware Gradient-guided Trajectory Learning (UGTL), which constructs locally coherent improvement trajectories reflec...

Chao Qian, Chenguang Wang, Rong-Xi Tan et al. · 0 citations

Preprint Aug 2026

Learning Early-to-Final Solution Consistency for MILP Acceleration

This paper finds that solutions produced at the early search stage of MILP solvers are often structurally close to the solutions found after full-budget search, and proposes a new solver-informed paradigm that shifts the learning target from variable assignment to early-to-final consistency.

Guanli Li, Chengrui Gao, Chenguang Wang et al. · 0 citations