4 papers
Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries
Xiaobin Song, Siyuan Bai, Da-Wei Wang +4
Charging optimization is a key challenge to the implementation of quantum batteries, particularly under inhomogeneity and partial observability. This paper employs reinforcement le…
Hierarchical Physics-Embedded Learning for Partially Known Spatiotemporal Dynamics
Xizhe Wang, Xiaobin Song, Hongbo Zhao +4
Partial physical knowledge--governing structures known, constitutive relations or their combinations not--pervades spatiotemporal systems. Existing scientific machine learning para…
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
Xiaobin Song, Zeyuan Liu, Benben Jiang
Machine learning methods based on AdaBoost have been widely applied to various classification problems across many mission-critical applications including healthcare, law and finan…
Parallel Bayesian Optimization Using Satisficing Thompson Sampling for Time-Sensitive Black-Box Optimization
Xiaobin Song, Benben Jiang
Bayesian optimization (BO) is widely used for black-box optimization problems, and have been shown to perform well in various real-world tasks. However, most of the existing BO met…