Xiupeng Shi

According to our database, Xiupeng Shi authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Weihong Zhai, Xiupeng Shi, Yiik Diew Wong, Qing Han, Lisheng Chen

CoRR, 2024

Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis.

Zuozheng Shi, Kun Liang, Zeng Zeng, Xiupeng Shi

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.

Weihong Zhai, Xiupeng Shi, Zeng Zeng

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

AutoML with Focal Loss for Defect Diagnosis and Prognosis in Smart Manufacturing.

Qing Han, Yu Xia, Xiupeng Shi, Zeng Zeng

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.

Yi Zhang, Xiupeng Shi, Sheng Zhang, Anuj Abraham

IEEE Trans. Intell. Transp. Syst., 2022

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road.

Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng

IEEE Trans. Intell. Transp. Syst., 2022

Optimized structure learning of Bayesian Network for investigating causation of vehicles' on-road crashes.

Tianyi Chen, Yiik Diew Wong, Xiupeng Shi, Xueqin Wang

Reliab. Eng. Syst. Saf., 2022

2021

An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles.

Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li

IEEE Trans. Intell. Transp. Syst., 2021

A novel cooperative resource provisioning strategy for Multi-Cloud load balancing.

Bo Zhang, Zeng Zeng, Xiupeng Shi, Jianxi Yang, Bharadwaj Veeravalli, Keqin Li

J. Parallel Distributed Comput., 2021

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

Chen Chai, Juanwu Lu, Xuan Jiang, Xiupeng Shi, Zeng Zeng

CoRR, 2021

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

Ziyao Zhou, Chen Chai, Weiru Yin, Xiupeng Shi

CoRR, 2021

Effects of trust in human-automation shared control: A human-in-the-loop driving simulation study.

Weiru Yin, Chen Chai, Ziyao Zhou, Chenhao Li, Yali Lu, Xiupeng Shi

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021