Wenshuo Wang

Orcid: 0009-0004-0378-1292

According to our database1, Wenshuo Wang authored at least 83 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model.
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

MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System.
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

Total Variation Floodgate for Variable Importance Inference in Classification.
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

A privacy preserving framework for federated learning in smart healthcare systems.
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

Understanding Bugs in Multi-Language Deep Learning Frameworks.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Interactive Car-Following: Matters but NOT Always.
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

Leveraging Human Driving Preferences to Predict Vehicle Speed.
IEEE Trans. Intell. Transp. Syst., 2022

Understanding V2V Driving Scenarios Through Traffic Primitives.
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

Social Interactions for Autonomous Driving: A Review and Perspectives.
Found. Trends Robotics, 2022

Social Interactions for Autonomous Driving: A Review and Perspective.
CoRR, 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

Urban Digital Twins for Intelligent Road Inspection.
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
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories.
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

Decision-making in driver-automation shared control: A review and perspectives.
IEEE CAA J. Autom. Sinica, 2020

Decision-Making in Driver-Automation Shared Control: A Review and Perspectives.
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

Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile.
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

Recurrent Attentive Neural Process for Sequential Data.
CoRR, 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

Active Learning for Risk-Sensitive Inverse Reinforcement Learning.
CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.
CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.
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

Driver Drowsiness Detection through a Vehicle's Active Probe Action.
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

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios.
IEEE Trans. Veh. Technol., 2018

Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications.
IEEE Robotics Autom. Lett., 2018

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters.
CoRR, 2018

Understanding V2V Driving Scenarios through Traffic Primitives.
CoRR, 2018

Clustering of Driving Scenarios Using Connected Vehicle Datasets.
CoRR, 2018

An Optimal LiDAR Configuration Approach for Self-Driving Cars.
CoRR, 2018

Clustering of Naturalistic Driving Encounters Using Unsupervised Learning.
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

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning.
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

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives.
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

Driving Style Classification Using a Semisupervised Support Vector Machine.
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

Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model.
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


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