Benben Jiang

According to our database, Benben Jiang authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries.

Yuhan Hao, Qiugang Lu, Xizhe Wang, Benben Jiang

IEEE Trans. Ind. Informatics, January, 2024

Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification.

Xiaobin Song, Zeyuan Liu, Benben Jiang

CoRR, 2024

2023

Active learning with fairness-aware clustering for fair classification considering multiple sensitive attributes.

Zeyuan Liu, Xin Zhang, Benben Jiang

Inf. Sci., November, 2023

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel.

Hongbo Zhao, Haitao Dean Deng, Alexander E. Cohen, Jongwoo Lim, Yiyang Li, Dimitrios Fraggedakis, Benben Jiang, Brian D. Storey, William C. Chueh, Richard D. Braatz, Martin Z. Bazant

Nat., 2023

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

Xiaobin Song, Benben Jiang

CoRR, 2023

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

Benben Jiang, Yixing Wang, Zhenghua Ma, Qiugang Lu

CoRR, 2023

2022

Dynamic Bhattacharyya Bound-Based Approach for Fault Classification in Industrial Processes.

Benben Jiang, Bofan Zhu

IEEE Trans. Ind. Informatics, 2022

Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries.

Benben Jiang, Xizhe Wang

IEEE Control. Syst. Lett., 2022

Fault Detection in Industrial Systems Using Maximized Divergence Analysis Approach.

Benben Jiang, Qiugang Lu

IEEE Access, 2022

Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation.

Marc D. Berliner, Benben Jiang, Daniel A. Cogswell, Martin Z. Bazant, Richard D. Braatz

Proceedings of the American Control Conference, 2022

2021

Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback-Leibler Divergence.

Qiugang Lu, Benben Jiang, Eranda Harinath

IEEE Trans. Control. Syst. Technol., 2021

2019

Latent variable modeling approach for fault detection and identification of process correlations.

Benben Jiang, Xiaoxiang Zhu

Trans. Inst. Meas. Control, 2019

Maximized Mutual Information Analysis Based on Stochastic Representation for Process Monitoring.

Benben Jiang, Yi Luo, Qiugang Lu

IEEE Trans. Ind. Informatics, 2019

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis.

Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang

IEEE Trans. Control. Syst. Technol., 2019

2018

Locality preserving discriminative canonical variate analysis for fault diagnosis.

Qiugang Lu, Benben Jiang, R. Bhushan Gopaluni, Philip D. Loewen, Richard D. Braatz

Comput. Chem. Eng., 2018

2017

Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis.

Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2015

Simultaneous Identification of Bidirectional Path Models Based on Process Data.

Benben Jiang, Fan Yang, Wei Wang, Dexian Huang

IEEE Trans Autom. Sci. Eng., 2015

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis.

Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Joel A. Paulson, Richard D. Braatz

Comput. Chem. Eng., 2015

Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise.

Benben Jiang, Fan Yang, Wei Wang, Dexian Huang

Autom., 2015

2013

Extended-AUDI method for simultaneous determination of causality and models from process data.

Benben Jiang, Fan Yang, Dexian Huang, Wei Wang

Proceedings of the American Control Conference, 2013