Xiaolin Tang
Orcid: 0000-0002-1603-6134
According to our database1,
Xiaolin Tang
authored at least 60 papers
between 2013 and 2025.
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Bibliography
2025
Mechanisms behind hazard recognition in potential rear-end collisions: An EEG study of cross-frequency phase synchrony in complex brain networks.
Expert Syst. Appl., 2025
Adaptive risk tendency in uncertainty-aware motion planning using risk-sensitive Reinforcement Learning.
Adv. Eng. Informatics, 2025
2024
Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., August, 2024
Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., June, 2024
Energy Management Strategies for Fuel Cell Vehicles: A Comprehensive Review of the Latest Progress in Modeling, Strategies, and Future Prospects.
IEEE Trans. Intell. Transp. Syst., January, 2024
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios.
IEEE CAA J. Autom. Sinica, January, 2024
Large models for intelligent transportation systems and autonomous vehicles: A survey.
Adv. Eng. Informatics, 2024
A Comparative Analysis of Deep Reinforcement Learning-Enabled Freeway Decision-Making for Automated Vehicles.
IEEE Access, 2024
2023
An Integrated Decision and Motion Planning Framework for Automated Driving on Highway.
IEEE Trans. Veh. Technol., December, 2023
Prediction Failure Risk-Aware Decision-Making for Autonomous Vehicles on Signalized Intersections.
IEEE Trans. Intell. Transp. Syst., November, 2023
Stochastic Velocity Prediction for Connected Vehicles Considering V2V Communication Interruption.
IEEE Trans. Intell. Transp. Syst., November, 2023
A Survey of Lateral Stability Criterion and Control Application for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., October, 2023
Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review.
IEEE Trans. Intell. Transp. Syst., October, 2023
IEEE Trans. Veh. Technol., September, 2023
Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives.
IEEE Trans. Intell. Transp. Syst., September, 2023
Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections.
IEEE Trans. Intell. Transp. Syst., September, 2023
Sensors, September, 2023
2022
Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain.
IEEE Trans. Veh. Technol., 2022
Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Intell. Veh., 2022
Q-Learning-Based Supervisory Control Adaptability Investigation for Hybrid Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
Survey on Image and Point-Cloud Fusion-Based Object Detection in Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Intell. Transp. Syst. Mag., 2022
2021
Improving Ride Comfort and Fuel Economy of Connected Hybrid Electric Vehicles Based on Traffic Signals and Real Road Information.
IEEE Trans. Veh. Technol., 2021
Distributed Deep Reinforcement Learning-Based Energy and Emission Management Strategy for Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2021
IEEE Intell. Transp. Syst. Mag., 2021
TeaNet: Deep learning on Near-Infrared Spectroscopy (NIR) data for the assurance of tea quality.
Comput. Electron. Agric., 2021
Test Scenarios Construction Based on Combinatorial Testing Strategy for Automated Vehicles.
IEEE Access, 2021
IEEE Access, 2021
A Cloud-Edge Collaborative Intelligent Fault Diagnosis Method Based on LSTM-VAE Hybrid Model.
Proceedings of the 8th IEEE International Conference on Cyber Security and Cloud Computing, 2021
2020
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon.
CoRR, 2020
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning.
CoRR, 2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles.
CoRR, 2020
Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles.
CoRR, 2020
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning.
CoRR, 2020
CoRR, 2020
Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications.
CoRR, 2020
Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences.
CoRR, 2020
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment.
CoRR, 2020
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study.
CoRR, 2020
Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition.
CoRR, 2020
Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning.
IEEE Access, 2020
Transfer Deep Reinforcement Learning-Enabled Energy Management Strategy for Hybrid Tracked Vehicle.
IEEE Access, 2020
Proceedings of the IEEE International Conference on Smart Cloud, 2020
2019
Synthesis Lectures on Advances in Automotive Technology, Morgan & Claypool Publishers, ISBN: 978-3-031-01499-4, 2019
Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle.
IEEE Trans. Veh. Technol., 2019
Tooth Surface Contact Analysis of Involute Rotate Vector Reducer Based on a Finite Element Linear Programming Method.
IEEE Access, 2019
Numerical and Experimental Investigations of Noise and Vibration Characteristics for a Dual-Motor Hybrid Electric Vehicle.
IEEE Access, 2019
2018
Synthesis Lectures on Advances in Automotive Technology, Morgan & Claypool Publishers, ISBN: 978-3-031-01498-7, 2018
Novel Torsional Vibration Modeling and Assessment of a Power-Split Hybrid Electric Vehicle Equipped With a Dual-Mass Flywheel.
IEEE Trans. Veh. Technol., 2018
Nonlinear Fractional-Order Estimator With Guaranteed Robustness and Stability for Lithium-Ion Batteries.
IEEE Trans. Ind. Electron., 2018
A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3.
Sensors, 2018
Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability.
J. Comput. Civ. Eng., 2018
Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study.
Comput. Ind. Eng., 2018
A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability.
Appl. Soft Comput., 2018
Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation.
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
IEEE Trans. Ind. Electron., 2017
2015
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
Vesicular Stomatitis Virus Polymerase's Strong Affinity to Its Template Suggests Exotic Transcription Models.
PLoS Comput. Biol., 2014
2013
CoRR, 2013