Yaoyao Fiona Zhao

According to our database, Yaoyao Fiona Zhao authored at least 31 papers between 2009 and 2024.

Collaborative distances:

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

2024

Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning.

Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao

J. Comput. Inf. Sci. Eng., April, 2024

Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition.

Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao

J. Comput. Inf. Sci. Eng., April, 2024

Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing.

Mutahar Safdar, Padma Polash Paul, Guy Lamouche, Gentry Wood, Max Zimmermann, Florian Hannesen, Christophe Bescond, Priti Wanjara, Yaoyao Fiona Zhao

Comput. Ind., January, 2024

A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling.

Jiarui Xie, Chonghui Zhang, Manuel Sage, Mutahar Safdar, Yaoyao Fiona Zhao

Int. J. Prod. Res., 2024

Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool.

Mutahar Safdar, Yi Fan Li, Randy El Haddad, Max Zimmermann, Gentry Wood, Guy Lamouche, Priti Wanjara, Yaoyao Fiona Zhao

Expert Syst. Appl., 2024

Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting.

Manuel Sage, Joshua Campbell, Yaoyao Fiona Zhao

CoRR, 2024

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing.

Jiarui Xie, Mutahar Safdar, Lequn Chen, Seung Ki Moon, Yaoyao Fiona Zhao

CoRR, 2024

Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models.

Mutahar Safdar, Jiarui Xie, Andrei Mircea, Yaoyao Fiona Zhao

CoRR, 2024

Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.

Jiarui Xie, Mutahar Safdar, Andrei Mircea, Yan Lu, Hyunwoong Ko, Zhuo Yang, Yaoyao Fiona Zhao

CoRR, 2024

Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability.

Jiarui Xie, Zhuo Yang, Chun-Chun Hu, Haw Ching Yang, Yan Lu, Yaoyao Fiona Zhao

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

An Overarching Quality Evaluation Framework for Additive Manufacturing Digital Twin.

Yan Lu, Jiarui Xie, Mutahar Safdar, Zhuo Yang, Fatemeh Elhambakhsh, Hyunwoong Ko, Shengyen Li, Yaoyao Fiona Zhao

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management.

Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, Manuel Sage, Yaoyao Fiona Zhao

J. Intell. Manuf., December, 2023

Machine learning aided design of conformal cooling channels for injection molding.

Zhenyang Gao, Guoying Dong, Yunlong Tang, Yaoyao Fiona Zhao

J. Intell. Manuf., March, 2023

A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials.

Chonghui Zhang, Jiarui Xie, Ali Shanian, Mitch Kibsey, Yaoyao Fiona Zhao

Eng. Appl. Artif. Intell., 2023

Feature selection and feature learning in machine learning applications for gas turbines: A review.

Jiarui Xie, Manuel Sage, Yaoyao Fiona Zhao

Eng. Appl. Artif. Intell., 2023

Fairness- and uncertainty-aware data generation for data-driven design.

Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao

CoRR, 2023

Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning.

Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao

CoRR, 2023

Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams.

Lynn Cherif, Mutahar Safdar, Guy Lamouche, Priti Wanjara, Padma Polash Paul, Gentry Wood, Max Zimmermann, Florian Hannesen, Yaoyao Fiona Zhao

CoRR, 2023

Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots.

Chonghui Zhang, Audrey Sedal, Yaoyao Fiona Zhao

Proceedings of the IEEE International Conference on Soft Robotics, 2023

Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations.

Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao

Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022

A geometric modelling framework to support the design of heterogeneous lattice structures with non-linearly varying geometry.

Nikita Letov, Yaoyao Fiona Zhao

J. Comput. Des. Eng., 2022

A Web-based automated manufacturability analyzer and recommender for additive manufacturing (MAR-AM) via a hybrid Machine learning model.

Ying Zhang, Yaoyao Fiona Zhao

Expert Syst. Appl., 2022

2021

A heterogeneous lattice structure modeling technique supported by multiquadric radial basis function networks.

Yuan Liu, Huiyuan Yang, Yaoyao Fiona Zhao, Guolei Zheng

J. Comput. Des. Eng., 2021

2020

Towards an automated decision support system for the identification of additive manufacturing part candidates.

Sheng Yang, Thomas Page, Ying Zhang, Yaoyao Fiona Zhao

J. Intell. Manuf., 2020

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.

Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung, Yaoyao Fiona Zhao

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

2018

Lattice Structure Design and Optimization With Additive Manufacturing Constraints.

Yunlong Tang, Guoying Dong, Qinxue Zhou, Yaoyao Fiona Zhao

IEEE Trans Autom. Sci. Eng., 2018

2015

Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing.

Yunlong Tang, Aidan Kurtz, Yaoyao Fiona Zhao

Comput. Aided Des., 2015

2012

Integration of machining and inspection.

Yaoyao Fiona Zhao, Xun William Xu

Int. J. Comput. Aided Eng. Technol., 2012

2011

Dimensional metrology interoperability and standardization in manufacturing systems.

Yaoyao Fiona Zhao, Xun Xu, Tom Kramer, Frederick M. Proctor, John Horst

Comput. Stand. Interfaces, 2011

2010

Enabling cognitive manufacturing through automated on-machine measurement planning and feedback.

Yaoyao Fiona Zhao, Xun Xu

Adv. Eng. Informatics, 2010

2009

Computer-Aided Inspection Planning - The state of the art.

Fiona Zhao, Xun Xu, Sheng Quan Xie

Comput. Ind., 2009