Xiupeng Shi

Orcid: 0000-0003-4930-6193

According to our database1, Xiupeng Shi authored at least 15 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Analysis of Key Factors Affecting Human Driver's Subjective and Objective Risk When Interacting with Autonomous Vehicles.
Int. J. Hum. Comput. Interact., June, 2026

2025
A Spatial-Temporal Analysis of Brain Activation to Explain the Take-Over Failure in Conditionally Automated Driving.
Hum. Factors, 2025

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Explainable AutoML (xAutoML) with adaptive modeling for yield enhancement in semiconductor smart manufacturing.
CoRR, 2024

Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis.
Proceedings of the 31st International Conference on Mixed Design of Integrated Circuits and System , 2024

2023
Adaptive Modelling for Anomaly Detection and Defect Diagnosis in Semiconductor Smart Manufacturing: A Domain-specific AutoML.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

AutoML with Focal Loss for Defect Diagnosis and Prognosis in Smart Manufacturing.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

2022
A XGBoost-Based Lane Change Prediction on Time Series Data Using Feature Engineering for Autopilot Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road.
IEEE Trans. Intell. Transp. Syst., 2022

Optimized structure learning of Bayesian Network for investigating causation of vehicles' on-road crashes.
Reliab. Eng. Syst. Saf., 2022

2021
An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

A novel cooperative resource provisioning strategy for Multi-Cloud load balancing.
J. Parallel Distributed Comput., 2021

An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance.
CoRR, 2021

Developing and evaluating an human-automation shared control takeover strategy based on Human-in-the-loop driving simulation.
CoRR, 2021

Effects of trust in human-automation shared control: A human-in-the-loop driving simulation study.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021


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