Battery optimal charging strategy based on a coupled thermoelectric model. - Kailong Liu; Kang Li 002; Zhile Yang; Cheng Zhang 025; Jing Deng 003 (CEC, 2016)

Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks. - Kailong Liu; Kang Li 002; Jianhua Zhang 007; Mingming Lin (SSCI, 2016)

Optimal Battery Charging Strategy Based on Complex System Optimization. - Haiping Ma; Pengcheng You; Kailong Liu; Zhile Yang; Minrui Fei (LSMS/ICSEE (3), 2017)

Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes. - Ziqi Yang; Zhile Yang; Kang Li 002; Wasif Naeem; Kailong Liu (LSMS/ICSEE (2), 2017)

Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management. - Kailong Liu; Kang Li 002; Qiao Peng; Yuanjun Guo; Li Zhang (Complex., 2018)

Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model. - Kailong Liu; Changfu Zou; Kang Li 002; Torsten Wik (IEEE Trans. Ind. Informatics, 2018)

A novel binary/real-valued pigeon-inspired optimization for economic/environment unit commitment with renewables and plug-in vehicles. - Zhile Yang; Kailong Liu; Jianping Fan 001; Yuanjun Guo; Qun Niu; Jianhua Zhang 007 (Sci. China Inf. Sci., 2019)

The HITSZ TTS system for Blizzard challenge 2020. - Huhao Fu; Yiben Zhang; Kailong Liu; Chao Liu (Blizzard Challenge / Voice Conversion Challenge, 2020)

A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting. - Zhile Yang; Monjur M. Mourshed; Kailong Liu; Xinzhi Xu; Shengzhong Feng (Neurocomputing, 2020)

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries. - Kailong Liu; Yi Li; Xiaosong Hu; Mattin Lucu; Widanalage Dhammika Widanage (IEEE Trans. Ind. Informatics, 2020)

Optimal Charging Control for Lithium-Ion Battery Packs: A Distributed Average Tracking Approach. - Quan Ouyang; Zhisheng Wang; Kailong Liu; Guotuan Xu; Yue Li 027 (IEEE Trans. Ind. Informatics, 2020)

A Sine-Wave Heating Circuit for Automotive Battery Self-Heating at Subzero Temperatures. - Yunlong Shang; Kailong Liu; Naxin Cui; Qi Zhang 036; Chenghui Zhang (IEEE Trans. Ind. Informatics, 2020)

Automotive Battery Equalizers Based on Joint Switched-Capacitor and Buck-Boost Converters. - Kailong Liu; Zhile Yang; Xiaopeng Tang; Wenping Cao (IEEE Trans. Veh. Technol., 2020)

Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm. - Jingda Wu; Zhongbao Wei; Kailong Liu; Zhongyi Quan; Yunwei Li 001 (IEEE Trans. Veh. Technol., 2020)

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. - Kailong Liu; Xiaosong Hu; Zhongbao Wei; Yi Li; Yan Jiang (CoRR, 2021)

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification. - Kailong Liu; Xiaosong Hu; Huiyu Zhou 001; Lei Tong; Widanalage Dhammika Widanage; James Marco (CoRR, 2021)

Recovering large-scale battery aging dataset with machine learning. - Xiaopeng Tang; Kailong Liu; Kang Li 002; Widanalage Dhammika Widanage; Emma Kendrick; Furong Gao (Patterns, 2021)

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery. - Kailong Liu; Yunlong Shang; Quan Ouyang; Widanalage Dhammika Widanage (IEEE Trans. Ind. Electron., 2021)

Towards Long Lifetime Battery: AI-Based Manufacturing and Management. - Kailong Liu; Zhongbao Wei; Chenghui Zhang; Yunlong Shang; Remus Teodorescu; Qing-Long Han (IEEE CAA J. Autom. Sinica, 2022)

Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model. - Yizhao Gao 003; Kailong Liu; Chong Zhu; Xi Zhang 016; Dong Zhang 011 (IEEE Trans. Ind. Electron., 2022)

A Balancing Current Ratio Based State-of-Health Estimation Solution for Lithium-Ion Battery Pack. - Xiaopeng Tang; Furong Gao; Kailong Liu; Qi Liu 077; Aoife M. Foley (IEEE Trans. Ind. Electron., 2022)

Self-Attention-Based Machine Theory of Mind for Electric Vehicle Charging Demand Forecast. - Tianyu Hu; Huimin Ma 001; Hao Liu; Hongbin Sun 002; Kailong Liu (IEEE Trans. Ind. Informatics, 2022)

A Transferred Recurrent Neural Network for Battery Calendar Health Prognostics of Energy-Transportation Systems. - Kailong Liu; Qiao Peng; Hongbin Sun 002; Minrui Fei; Huimin Ma 001; Tianyu Hu (IEEE Trans. Ind. Informatics, 2022)

A Physical-Data Fusion Framework for Lithium-ion Battery SOC Estimation. - Bingzhe Fu; Yihuan Li; Kailong Liu; Wei Lin (IECON, 2023)

Knowledge-Guided Data-Driven Model With Transfer Concept for Battery Calendar Ageing Trajectory Prediction. - Kailong Liu; Qiao Peng; Remus Teodorescu; Aoife M. Foley (IEEE CAA J. Autom. Sinica, 2023)

Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines. - Lingxing Kong; Kailong Liu; Deyi Fu; Boyong Liu; Jingkai Ma; Huini Sun; Shuang Bai (J. Intell. Fuzzy Syst., 2023)

Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven Attention. - Tianyu Hu; Huimin Ma 001; Kailong Liu; Hongbin Sun 002 (IEEE Trans. Ind. Electron., 2023)

An Internal Heating Strategy for Lithium-Ion Batteries Without Lithium Plating Based on Self-Adaptive Alternating Current Pulse. - Wei Li 157; Yi Xie; Xiaosong Hu; Manh-Kien Tran; Michael Fowler; Satyam Panchal; Jintao Zheng; Kailong Liu (IEEE Trans. Veh. Technol., 2023)

Coestimation of SOC and Three-Dimensional SOT for Lithium-Ion Batteries Based on Distributed Spatial-Temporal Online Correction. - Yi Xie; Wei Li 157; Xiaosong Hu; Manh-Kien Tran; Satyam Panchal; Michael Fowler; Yangjun Zhang; Kailong Liu (IEEE Trans. Ind. Electron., 2023)

A Health-Aware AC Heating Strategy With Lithium Plating Criterion for Batteries at Low Temperatures. - Yi Xie; Wei Li 157; Ziyou Song; Bin Chen; Kailong Liu; Rui Yang; Yangjun Zhang (IEEE Trans. Ind. Informatics, 2024)

An Intelligent Preheating Approach Based on High-Gain Control for Lithium-Ion Batteries in Extremely Cold Environment. - Yunlong Shang; Guicheng Chen; Qiao Peng; Tao Zhu; Kailong Liu (IEEE Trans. Ind. Electron., 2024)

A Precise Minor-Fault Diagnosis Method for Lithium-Ion Batteries Based on Phase Plane Sample Entropy. - Xin Gu; Jinglun Li; Kailong Liu; Yuhao Zhu 007; Xuewen Tao; Yunlong Shang (IEEE Trans. Ind. Electron., 2024)

Explainable Neural Network for Sensitivity Analysis of Lithium-Ion Battery Smart Production. - Kailong Liu; Qiao Peng; Yuhang Liu; Naxin Cui; Chenghui Zhang (IEEE CAA J. Autom. Sinica, 2024)

An Early Fault Diagnostic Method Based on Anomaly Cumulation for Power Batteries. - Jinglun Li; Yunlong Shang; Xin Gu; Kailong Liu; Yue Wang 083; Chenghui Zhang (IEEE Trans. Ind. Electron., 2024)

Understanding document images by introducing explicit semantic information and short-range information interaction. - Yufeng Cheng; Dongxue Wang; Shuang Bai; Jingkai Ma; Chen Liang; Kailong Liu; Tao Deng (Image Vis. Comput., 2025)

Interpretable Data-Driven Learning with Fast Ultrasonic Detection for Battery Health Estimation. - Kailong Liu; Yuhang Liu; Qiao Peng; Naxin Cui; Chenghui Zhang (IEEE CAA J. Autom. Sinica, 2025)

Coating Feature Analysis and Capacity Prediction for Digitalization of Battery Manufacturing: An Interpretable AI Solution. - Qiao Peng; Yuhang Liu; Yang Jin; Xiao-Guang Yang; Rui Wang 059; Kailong Liu (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Evolutionary Multiobjective Optimization for Large-Scale Portfolio Selection With Both Random and Uncertain Returns. - Weilong Liu; Yong Zhang 038; Kailong Liu; Barry Quinn 003; Xingyu Yang; Qiao Peng (IEEE Trans. Evol. Comput., 2025)

Cloud-Based Li-ion Battery Anomaly Detection, Localization and Classification. - Aihua Tang; Zikang Wu; Yuchen Xu 010; Kailong Liu; Quanqing Yu (IEEE Trans. Ind. Informatics, 2025)

An Ultrasonic Wave-Based Method for Efficient State-of-Health Estimation of Li-Ion Batteries. - Kailong Liu; Yuhang Liu; Shiwen Zhao; Xiaoyu Li; Qiao Peng (IEEE Trans. Ind. Electron., 2025)

Efficient Knowledge-Guided Self-Evolving Intelligent Behavioral Control for Autonomous Vehicles. - Qiao Peng; Kailong Liu; Jingda Wu; Amir Khajepour (IEEE CAA J. Autom. Sinica, 2025)