On Simplification of a Solid-State Battery Model for State Estimation. - Kushagra Upreti; Isaiah Oyewole; Xianke Lin; Youngki Kim (CCTA, 2019)

A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction. - Hui Liu; Zhenyu Liu 005; Weiqiang Jia; Xianke Lin (IJCNN, 2019)

Online Estimation of Diffusion-Induced Stress in Cathode Particles of Li-Ion Batteries. - Xianke Lin; Bingxian Mu (ISIE, 2019)

A Data-Driven Power Consumption Model for Electric UAVs. - Xu Ting Pamela She; Xianke Lin; Haoxiang Lang (ACC, 2020)

An adversarial bidirectional serial-parallel LSTM-based QTD framework for product quality prediction. - Zhenyu Liu 005; Donghao Zhang; Weiqiang Jia; Xianke Lin; Hui Liu (J. Intell. Manuf., 2020)

Designing Multi-Mode Power Split Hybrid Electric Vehicles Using the Hierarchical Topological Graph Theory. - Huanxin Pei; Xiaosong Hu; Yalian Yang; Huei Peng; Lin Hu 001; Xianke Lin (IEEE Trans. Veh. Technol., 2020)

An MPC-Based Control Strategy for Electric Vehicle Battery Cooling Considering Energy Saving and Battery Lifespan. - Yi Xie; Chenyang Wang; Xiaosong Hu; Xianke Lin; Yangjun Zhang; Wei Li 157 (IEEE Trans. Veh. Technol., 2020)

A Neural Network Based Method for Thermal Fault Detection in Lithium-Ion Batteries. - Olaoluwa Ojo; Haoxiang Lang; Youngki Kim; Xiaosong Hu; Bingxian Mu; Xianke Lin (IEEE Trans. Ind. Electron., 2021)

Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach. - Hui Liu; Zhenyu Liu 005; Weiqiang Jia; Xianke Lin (IEEE Trans. Ind. Informatics, 2021)

Predictive Battery Health Management With Transfer Learning and Online Model Correction. - Yunhong Che; Zhongwei Deng; Xianke Lin; Lin Hu 001; Xiaosong Hu (IEEE Trans. Veh. Technol., 2021)

Improving Ride Comfort and Fuel Economy of Connected Hybrid Electric Vehicles Based on Traffic Signals and Real Road Information. - Xiaolin Tang; Ziwen Duan; Xiaosong Hu; Huayan Pu; Dongpu Cao; Xianke Lin (IEEE Trans. Veh. Technol., 2021)

High-Definition Map Generation Technologies For Autonomous Driving. - Zhibin Bao; Sabir Hossain; Haoxiang Lang; Xianke Lin (CoRR, 2022)

Uncertainty-Aware Tightly-Coupled GPS Fused LIO-SLAM. - Sabir Hossain; Xianke Lin (CoRR, 2022)

Road Slope Prediction and Vehicle Dynamics Control for Autonomous Vehicles. - Gautam Shetty; Sabir Hossain; Chuan Hu; Xianke Lin (CoRR, 2022)

Vision-based localization methods under GPS-denied conditions. - Zihao Lu; Fei Liu; Xianke Lin (CoRR, 2022)

Vision-Based Environmental Perception for Autonomous Driving. - Fei Liu; Zihao Lu; Xianke Lin (CoRR, 2022)

Image- and health indicator-based transfer learning hybridization for battery RUL prediction. - Jonathan Couture; Xianke Lin (Eng. Appl. Artif. Intell., 2022)

A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications. - Xiaosong Hu; Xinchen Deng; Feng Wang; Zhongwei Deng; Xianke Lin; Remus Teodorescu; Michael G. Pecht (Proc. IEEE, 2022)

Q-Learning-Based Supervisory Control Adaptability Investigation for Hybrid Electric Vehicles. - Bin Xu; Xiaolin Tang; Xiaosong Hu; Xianke Lin; Huayi Li; Dhruvang Rathod; Zhe Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic. - Xiaolin Tang; Bing Huang; Teng Liu; Xianke Lin (IEEE Trans. Veh. Technol., 2022)

Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain. - Xiaolin Tang; Jieming Zhang; Xiangyang Cui; Xianke Lin; Lech Marian Grzesiak; Xiaosong Hu (IEEE Trans. Veh. Technol., 2022)

A review of high-definition map creation methods for autonomous driving. - Zhibin Bao; Sabir Hossain; Haoxiang Lang; Xianke Lin (Eng. Appl. Artif. Intell., 2023)

Efficient Stereo Depth Estimation for Pseudo-LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder. - Sabir Hossain; Xianke Lin (Sensors, 2023)

Dynamic Traffic Prediction-Based Energy Management of Connected Plug-In Hybrid Electric Vehicles with Long Short-Term State of Charge Planning. - Nan Zhao; Fengqi Zhang; Yalian Yang; Serdar Coskun; Xianke Lin; Xiaosong Hu (IEEE Trans. Veh. Technol., 2023)

Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning. - Yunhong Che; Yusheng Zheng; Yue Wu; Xianke Lin; Jiacheng Li; Xiaosong Hu; Remus Teodorescu (IEEE Trans. Veh. Technol., 2023)

Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections. - Xiaolin Tang; Guichuan Zhong; Shen Li 001; Kai Yang 032; Keqi Shu; Dongpu Cao; Xianke Lin (IEEE Trans. Intell. Transp. Syst., 2023)

Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios. - Xiaolin Tang; Yuyou Yang; Teng Liu; Xianke Lin; Kai Yang 032; Shen Li 001 (IEEE CAA J. Autom. Sinica, 2024)

Traffic Information-Based Hierarchical Control Strategies for Eco-Driving of Plug-In Hybrid Electric Vehicles. - Yapeng Li; Yalian Yang; Xianke Lin; Xiaosong Hu (IEEE Trans. Veh. Technol., 2024)

Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles. - Jiongpeng Gan; Shen Li 001; Xianke Lin; Xiaolin Tang (IEEE Trans. Veh. Technol., 2024)

Enhancing mapping precision in autonomous delivery robots through tightly-coupled fusion of uncertainty-aware GPS and LiDAR odometry. - Sabir Hossain; Xianke Lin (Int. J. Intell. Robotics Appl., 2025)