Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization. - Yong Wang 002; Bing-Chuan Wang; Han-Xiong Li; Gary G. Yen (IEEE Trans. Cybern., 2016)

Multi-task Learning Based Spatiotemporal Modeling for Distributed Thermal Processes. - Bing-Chuan Wang; Han-Xiong Li (SMC, 2018)

An improved teaching-learning-based optimization for constrained evolutionary optimization. - Bing-Chuan Wang; Han-Xiong Li; Yun Feng 001 (Inf. Sci., 2018)

A Constrained Cooperative Coevolution Strategy for Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks. - Yun Feng; Bing-Chuan Wang; Li Ding (CoRR, 2019)

A Unified Framework of Epidemic Spreading Prediction by Empirical Mode Decomposition- Based Ensemble Learning Techniques. - Yun Feng 001; Bing-Chuan Wang (IEEE Trans. Comput. Soc. Syst., 2019)

A Sliding Window Based Dynamic Spatiotemporal Modeling for Distributed Parameter Systems With Time-Dependent Boundary Conditions. - Bing-Chuan Wang; Han-Xiong Li (IEEE Trans. Ind. Informatics, 2019)

Composite Differential Evolution for Constrained Evolutionary Optimization. - Bing-Chuan Wang; Han-Xiong Li; Jia-Peng Li; Yong Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Individual-dependent feasibility rule for constrained differential evolution. - Bing-Chuan Wang; Yun Feng 001; Han-Xiong Li (Inf. Sci., 2020)

Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization. - Yong Wang 002; Jia-Peng Li; Xihui Xue; Bing-Chuan Wang (IEEE Trans. Evol. Comput., 2020)

Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process. - Bing-Chuan Wang; Han-Xiong Li; Hai-Dong Yang (IEEE Trans. Ind. Electron., 2020)

An adaptive fuzzy penalty method for constrained evolutionary optimization. - Bing-Chuan Wang; Han-Xiong Li; Yun Feng 001; Wenjing Shen (Inf. Sci., 2021)

A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model. - Yu Zhou 035; Bing-Chuan Wang; Han-Xiong Li; Hai-Dong Yang; Zhi Liu 001 (IEEE Trans. Ind. Informatics, 2021)

Indicator-Based Constrained Multiobjective Evolutionary Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Bing-Chuan Wang (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. - Bing-Chuan Wang; Han-Xiong Li; Qingfu Zhang 001; Yong Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study. - Yan-Bo He; Bing-Chuan Wang; Zhi-Zhong Liu (BIC-TA, 2022)

A two-phase differential evolution for minimax optimization. - Bing-Chuan Wang; Yun Feng 001; Xianbing Meng; Shuqiang Wang (Appl. Soft Comput., 2022)

Solving constrained optimization problems via multifactorial evolution. - Bing-Chuan Wang; Zhi-Zhong Liu; Wu Song (Appl. Soft Comput., 2022)

Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization. - Bing-Chuan Wang; Zhongyi Shui; Yun Feng 001; Zhongwei Ma (Swarm Evol. Comput., 2022)

Spatial Decomposition-Based Fault Detection Framework for Parabolic-Distributed Parameter Processes. - Yun Feng 001; Yaonan Wang 001; Bing-Chuan Wang; Han-Xiong Li (IEEE Trans. Cybern., 2022)

Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. - Zhi-Zhong Liu; Bing-Chuan Wang; Ke Tang 001 (IEEE Trans. Cybern., 2022)

Evolutionary Sensor Placement for Spatiotemporal Modeling of Battery Thermal Process. - Yong Wang 002; Shi-Hui He; Bing-Chuan Wang (IEEE Trans. Ind. Informatics, 2022)

Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm. - Pei-Qiu Huang; Yu Zhou 045; Kezhi Wang; Bing-Chuan Wang (IEEE Wirel. Commun. Lett., 2022)

Mitigation of Voltage Violation for Battery Fast Charging Based on Data-Driven Optimization. - Zheng Xiong; Biao Luo 001; Bing-Chuan Wang (ICONIP (14), 2023)

ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization. - Bing-Chuan Wang; Yunchuan Qin; Xian-Bing Meng; Zhi-Zhong Liu (CoRR, 2023)

Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System. - Zheng Xiong; Biao Luo 001; Bing-Chuan Wang; Xiaodong Xu 002; Xiaodong Liu 011; Tingwen Huang (CoRR, 2023)

From Online Systems Modeling to Fault Detection for a Class of Unknown High-Dimensional Distributed Parameter Systems. - Yun Feng 001; Yaonan Wang 001; Qin Wan 001; Xiaogang Zhang; Bing-Chuan Wang; Han-Xiong Li (IEEE Trans. Ind. Electron., 2023)

Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery. - Zhongyi Shui; Xu-Hao Li; Yun Feng 001; Bing-Chuan Wang; Yong Wang 002 (IEEE Trans. Ind. Electron., 2023)

Physics-Dominated Neural Network for Spatiotemporal Modeling of Battery Thermal Process. - Hai-Peng Deng; Yan-Bo He; Bing-Chuan Wang; Han-Xiong Li (IEEE Trans. Ind. Informatics, 2024)

PDE Model-Based On-Line Cell-Level Thermal Fault Localization Framework for Batteries. - Yun Feng 001; Xingyu Zhu; Yaonan Wang 001; Bing-Chuan Wang; Hui Zhang 023; Zheng-Guang Wu; Huaicheng Yan 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Optimized Weights for Heterogeneous Epidemic Spreading Networks: A Constrained Cooperative Coevolution Strategy. - Yun Feng 001; Yaonan Wang 001; Bing-Chuan Wang; Li Ding 013 (IEEE Trans. Comput. Soc. Syst., 2024)

ATM-R: An Adaptive Tradeoff Model With Reference Points for Constrained Multiobjective Evolutionary Optimization. - Bing-Chuan Wang; Yunchuan Qin; Xian-Bing Meng; Yong Wang 002; Zhi-Zhong Liu (IEEE Trans. Cybern., 2024)

Gaussian Process-Accelerated Multiobjective Evolutionary Design of Charging Process Considering Multiple User Preferences. - Bing-Chuan Wang; Yang-Yang Mao; Yong Wang 002; Han-Xiong Li (IEEE Trans. Ind. Informatics, 2024)

DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. - Junren Pan; Qiankun Zuo; Bing-Chuan Wang; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Artif. Intell., 2024)

Physics-Informed Spatial Fuzzy System and Its Applications in Modeling. - Hai-Peng Deng; Bing-Chuan Wang; Han-Xiong Li (IEEE Trans. Fuzzy Syst., 2024)

Decentralized Multiagent Reinforcement Learning Based State-of-Charge Balancing Strategy for Distributed Energy Storage System. - Zheng Xiong; Biao Luo 001; Bing-Chuan Wang; Xiaodong Xu 002; Xiaodong Liu 011; Tingwen Huang (IEEE Trans. Ind. Informatics, 2024)

Human-in-the-Loop Reinforcement Learning in Continuous-Action Space. - Biao Luo 001; Zhengke Wu; Fei Zhou; Bing-Chuan Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Physics-Enhanced Separation Framework for Spatiotemporal Modeling of Distributed Parameter Systems With Multi-Fidelity Data. - Bing-Chuan Wang; Yan-Bo He; Yong Wang 002; Han-Xiong Li (IEEE Trans Autom. Sci. Eng., 2025)

A Physics-Informed Composite Network for Modeling of Electrochemical Process of Large-Scale Lithium-Ion Batteries. - Bing-Chuan Wang; Zhen-Dong Ji; Yong Wang 002; Han-Xiong Li; Zhongmei Li (IEEE Trans. Ind. Informatics, 2025)

Time/Space Separation-Based Physics-Informed Machine Learning for Spatiotemporal Modeling of Distributed Parameter Systems. - Bing-Chuan Wang; Cong-Ling Dai; Yong Wang 002; Han-Xiong Li (IEEE Trans. Syst. Man Cybern. Syst., 2025)