Wenshuo Wang
Orcid: 0009-0004-0378-1292
According to our database1,
Wenshuo Wang
authored at least 83 papers
between 2015 and 2024.
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Bibliography
2024
Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery.
Medical Biol. Eng. Comput., November, 2024
IEEE Trans. Intell. Transp. Syst., September, 2024
On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction.
IEEE Trans. Intell. Transp. Syst., February, 2024
A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing.
Digit. Commun. Networks, 2024
CoRR, 2024
100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Sustainable Disruption of Organizational Knowledge: A Case Study on Changing Epistemic Stances in Digital Transformation.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives.
IEEE Trans. Intell. Veh., November, 2023
TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., March, 2023
Inf. Process. Manag., 2023
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills.
IROS, 2023
Scene-insensitive Driving Style Recognition using CAN Signals based on Factor Analysis.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023
Design of Simulation System for Typical Application Verification and Testing of Low-voltage Intelligent IoT Power Distribution Area Fusion Terminal.
Proceedings of the 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, 2023
2022
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic.
IEEE Trans. Intell. Transp. Syst., 2022
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains.
IEEE Trans. Intell. Transp. Syst., 2022
Uncovering Interpretable Internal States of Merging Tasks at Highway on-Ramps for Autonomous Driving Decision-Making.
IEEE Trans Autom. Sci. Eng., 2022
Home Environment Augmented Reality System Based on 3D Reconstruction of a Single Furniture Picture.
Sensors, 2022
PMHE: a wearable medical sensor assisted framework for health care based on blockchain and privacy computing.
J. Cloud Comput., 2022
Found. Trends Robotics, 2022
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery.
CoRR, 2022
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms.
CoRR, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix.
CoRR, 2021
Impact Evaluation of Compensation Price on Electric Vehicle Charging Load Distribution.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021
2020
IEEE Trans. Intell. Veh., 2020
A Probabilistic Approach to Measuring Driving Behavior Similarity With Driving Primitives.
IEEE Trans. Intell. Veh., 2020
Influence of Cut-In Maneuvers for an Autonomous Car on Surrounding Drivers: Experiment and Analysis.
IEEE Trans. Intell. Transp. Syst., 2020
IEEE CAA J. Autom. Sinica, 2020
CoRR, 2020
Computational Modeling for Surgical Reconstruction of Aortic Valve by Using Autologous Pericardium.
IEEE Access, 2020
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
A Learning-Based Personalized Driver Model Using Bounded Generalized Gaussian Mixture Models.
IEEE Trans. Veh. Technol., 2019
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches.
IEEE Trans. Intell. Transp. Syst., 2019
Estimating Driver's Lane-Change Intent Considering Driving Style and Contextual Traffic.
IEEE Trans. Intell. Transp. Syst., 2019
A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior.
IEEE Trans. Hum. Mach. Syst., 2019
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process.
CoRR, 2019
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019
2018
Driving-Style-Oriented Adaptive Equivalent Consumption Minimization Strategies for HEVs.
IEEE Trans. Veh. Technol., 2018
A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model.
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Veh. Technol., 2018
Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications.
IEEE Robotics Autom. Lett., 2018
CoRR, 2018
Influence Analysis of Autonomous Cars' Cut-In Behavior on Human Drivers in a Driving Simulator.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model.
IEEE Trans. Intell. Veh., 2017
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior.
IEEE Trans. Intell. Veh., 2017
Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics.
IEEE Trans. Intell. Transp. Syst., 2017
IEEE Trans. Hum. Mach. Syst., 2017
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach.
CoRR, 2017
CoRR, 2017
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior.
CoRR, 2017
Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Development and evaluation of two learning-based personalized driver models for car-following behaviors.
Proceedings of the 2017 American Control Conference, 2017
2016
Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation.
CoRR, 2016
A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines.
CoRR, 2016
A rapid pattern-recognition method for driving styles using clustering-based support vector machines.
Proceedings of the 2016 American Control Conference, 2016
2015
Human-centered feed-forward control of a vehicle steering system based on a driver's steering model.
Proceedings of the American Control Conference, 2015