3 papers
cs.AI2026
LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
Zhinan Hou, Xingchen Li, Yankai Zhang +2
Efficient branching policies are essential for accelerating Mixed Integer Linear Programming (MILP) solvers. Their design has long relied on hand-crafted heuristics, and now machin…
cs.AI2026
The FM Agent
Annan Li, Chufan Wu, Zengle Ge +19
Large language models (LLMs) are catalyzing the development of autonomous AI research agents for scientific and engineering discovery. We present FM Agent, a novel and general-purp…
math.OC2024
Reliably Learn to Trim Multiparametric Quadratic Programs via Constraint Removal
Zhinan Hou, Keyou You
In a wide range of applications, we are required to rapidly solve a sequence of convex multiparametric quadratic programs (mp-QPs) on resource-limited hardwares. This is a nontrivi…