Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification

no code implementations • 6 Jan 2024 • Xiaobin Song, Zeyuan Liu, Benben Jiang

In order to achieve fair classification, a novel fair AdaBoost (FAB) approach is proposed that is an interpretable fairness-improving variant of AdaBoost.

Binary Classification Classification +1

Parallel Bayesian Optimization Using Satisficing Thompson Sampling for Time-Sensitive Black-Box Optimization

no code implementations • 19 Oct 2023 • Xiaobin Song, Benben Jiang

We shift the target from an optimal solution to a satisficing solution that is easier to learn.

Bayesian Optimization STS +1

Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization with Recurrent Neural Network

no code implementations • 9 Apr 2023 • Benben Jiang, Yixing Wang, Zhenghua Ma, Qiugang Lu

Fast charging has attracted increasing attention from the battery community for electrical vehicles (EVs) to alleviate range anxiety and reduce charging time for EVs.

Bayesian Optimization

EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation

no code implementations • 28 Jan 2022 • Haowei He, Jingzhao Zhang, Yanan Wang, Benben Jiang, Shaobo Huang, Chen Wang, Yang Zhang, Gengang Xiong, Xuebing Han, Dongxu Guo, Guannan He, Minggao Ouyang

In addition to demonstrating how existing deep learning algorithms can be applied to this task, we further develop an algorithm that exploits the data structure of battery systems.

Anomaly Detection Capacity Estimation +1