3 papers
cs.LG2026
A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling
Ruisong Zhou, Haijun Zou, Li Zhou +2
Efficient scheduling of directed acyclic graphs (DAGs) is a core problem in large-scale data-intensive computing systems, where query plans, data-processing workloads, and computat…
cs.LG2026
Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning
Yicheng Pan, Ruisong Zhou, Haijun Zou +2
The quadratic assignment problem (QAP) is a fundamental NP-hard task that poses significant challenges for both traditional heuristics and modern learning-based solvers. Existing Q…
math.OC2026
LMask: Learn to Solve Constrained Routing Problems with Lazy Masking
Tianyou Li, Haijun Zou, Jiayuan Wu +1
Routing problems are canonical combinatorial optimization tasks with wide-ranging applications in logistics, transportation, and supply chain management. However, solving these pro…