4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
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…
cs.LG2023
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…
eess.SY2023★ 4 cited
Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization with Recurrent Neural Network
Benben Jiang, Yixing Wang, Zhenghua Ma +1
Fast charging has attracted increasing attention from the battery community for electrical vehicles (EVs) to alleviate range anxiety and reduce charging time for EVs. However, inap…