Benben Jiang - RankMe

31 papers C 2Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing genetic engineering with active learning: theory, implementations and potential opportunities. Briefings Bioinform. Qixiu Du, Haochen Wang, Benben Jiang, Xiaowo Wang
2025	J	`jnl`	Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations. IEEE Trans. Ind. Informatics Xizhe Wang, Benben Jiang
2025	J	`jnl`	BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis. CoRR Songqi Zhou, Ruixue Liu, Boman Su, Jiazhou Wang, Yixing Wang, Benben Jiang
2025	J	`jnl`	BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling. CoRR Songqi Zhou, Ruixue Liu, Yixing Wang, Jia Lu, Benben Jiang
2025	J	`jnl`	FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA. CoRR Songqi Zhou, Zeyuan Liu, Benben Jiang
2025	J	`jnl`	Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network. IEEE Trans Autom. Sci. Eng. Benben Jiang, Yixing Wang, Zhenghua Ma, Qiugang Lu
2025	J	`jnl`	Hierarchical Physics-Embedded Learning for Spatiotemporal Dynamical Systems. CoRR Xizhe Wang, Xiaobin Song, Qingshan Jia, Hongbo Zhao, Benben Jiang
2025	J	`jnl`	Parallel Bayesian optimization using satisficing Thompson sampling for fast charging design of lithium-ion batteries. Eng. Appl. Artif. Intell. Xiaobin Song, Benben Jiang
2025	J	`jnl`	Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries. CoRR Xiaobin Song, Siyuan Bai, Da-Wei Wang, Hanxiao Tao, Xizhe Wang, Rebing Wu, Benben Jiang
2024	J	`jnl`	Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification. CoRR Xiaobin Song, Zeyuan Liu, Benben Jiang
2024	J	`jnl`	Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries. IEEE Trans. Ind. Informatics Yuhan Hao, Qiugang Lu, Xizhe Wang, Benben Jiang
2024	J	`jnl`	Adaptive boosting with fairness-aware reweighting technique for fair classification. Expert Syst. Appl. Xiaobin Song, Zeyuan Liu, Benben Jiang
2024	—	`conf`	Deep Reinforcement Learning-Based Symbolic Regression for PDE Discovery Using Spatio-Temporal Rewards. CASE Xizhe Wang, Hongbo Zhao, Qianchuan Zhao, Benben Jiang
2023	J	`jnl`	Active learning with fairness-aware clustering for fair classification considering multiple sensitive attributes. Inf. Sci. Zeyuan Liu, Xin Zhang, Benben Jiang
2023	J	`jnl`	Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization with Recurrent Neural Network. CoRR Benben Jiang, Yixing Wang, Zhenghua Ma, Qiugang Lu
2023	J	`jnl`	Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. Nat. 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
2023	J	`jnl`	Parallel Bayesian Optimization Using Satisficing Thompson Sampling for Time-Sensitive Black-Box Optimization. CoRR Xiaobin Song, Benben Jiang
2022	J	`jnl`	Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries. IEEE Control. Syst. Lett. Benben Jiang, Xizhe Wang
2022	J	`jnl`	Dynamic Bhattacharyya Bound-Based Approach for Fault Classification in Industrial Processes. IEEE Trans. Ind. Informatics Benben Jiang, Bofan Zhu
2022	C	`conf`	Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation. ACC Marc D. Berliner, Benben Jiang, Daniel A. Cogswell, Martin Z. Bazant, Richard D. Braatz
2022	J	`jnl`	Fault Detection in Industrial Systems Using Maximized Divergence Analysis Approach. IEEE Access Benben Jiang, Qiugang Lu
2021	J	`jnl`	Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback-Leibler Divergence. IEEE Trans. Control. Syst. Technol. Qiugang Lu, Benben Jiang, Eranda Harinath
2019	J	`jnl`	Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis. IEEE Trans. Control. Syst. Technol. Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang
2019	J	`jnl`	Latent variable modeling approach for fault detection and identification of process correlations. Trans. Inst. Meas. Control Benben Jiang, Xiaoxiang Zhu
2019	J	`jnl`	Maximized Mutual Information Analysis Based on Stochastic Representation for Process Monitoring. IEEE Trans. Ind. Informatics Benben Jiang, Yi Luo, Qiugang Lu
2018	J	`jnl`	Locality preserving discriminative canonical variate analysis for fault diagnosis. Comput. Chem. Eng. Qiugang Lu, Benben Jiang, R. Bhushan Gopaluni, Philip D. Loewen, Richard D. Braatz
2017	—	`conf`	Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis. CCTA Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang
2015	J	`jnl`	A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. Comput. Chem. Eng. Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Joel A. Paulson, Richard D. Braatz
2015	J	`jnl`	Simultaneous Identification of Bidirectional Path Models Based on Process Data. IEEE Trans Autom. Sci. Eng. Benben Jiang, Fan Yang, Wei Wang, Dexian Huang
2015	J	`jnl`	Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise. Autom. Benben Jiang, Fan Yang, Wei Wang, Dexian Huang
2013	C	`conf`	Extended-AUDI method for simultaneous determination of causality and models from process data. ACC Benben Jiang, Fan Yang, Dexian Huang, Wei Wang