3 papers
cs.DC2025
New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search
Zhiwei Zhang, Jiayu Shen, Niraj Kumar +1
Low Autocorrelation Binary Sequences (LABS) is a particularly challenging binary optimization problem which quickly becomes intractable in finding the global optimum for problem si…
math.OC2025
Meta-Learning the Optimal Mixture of Strategies for Online Portfolio Selection
Jiayu Shen, Jia Liu, Zhiping Chen
This paper presents an innovative online portfolio selection model, situated within a meta-learning framework, that leverages a mixture policies strategy. The core idea is to simul…
hep-lat2025
Using AI for Efficient Statistical Inference of Lattice Correlators Across Mass Parameters
Octavio Vega, Andrew Lytle, Jiayu Shen +1
Lattice QCD is notorious for its computational expense. Modern lattice simulations require large-scale computational resources to handle the large number of Dirac operator inversio…