Yaoyao Fiona Zhao

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 24

Top Topics

Machine Learning

Semantic Segmentation

Data Generation

Top Venues

J. Intell. Manuf.

J. Comput. Des. Eng.

J. Comput. Inf. Sci. Eng.

Publications

Mutahar Safdar, Yi Fan Li, Randy El Haddad, Max Zimmermann, Gentry Wood, Guy Lamouche, Priti Wanjara, Yaoyao Fiona Zhao
Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool. Expert Syst. Appl. 251 (2024)
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, Gentry Wood, Max Zimmermann, Florian Hannesen, Christophe Bescond, Priti Wanjara, Yaoyao Fiona Zhao
Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing. Comput. Ind. 154 (2024)
Mutahar Safdar, Jiarui Xie, Andrei Mircea, Yaoyao Fiona Zhao
Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models. CoRR (2024)
Jiarui Xie, Mutahar Safdar, Andrei Mircea, Yan Lu, Hyunwoong Ko, Zhuo Yang, Yaoyao Fiona Zhao
Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing. CoRR (2024)
Jiarui Xie, Chonghui Zhang, Manuel Sage, Mutahar Safdar, Yaoyao Fiona Zhao
A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling. Int. J. Prod. Res. 62 (12) (2024)
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition. J. Comput. Inf. Sci. Eng. 24 (4) (2024)
Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning. J. Comput. Inf. Sci. Eng. 24 (4) (2024)
Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, Manuel Sage, Yaoyao Fiona Zhao
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management. J. Intell. Manuf. 34 (8) (2023)
Lynn Cherif, Mutahar Safdar, Guy Lamouche, Priti Wanjara, Padma Paul, Gentry Wood, Max Zimmermann, Florian Hannesen, Yaoyao Fiona Zhao
Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams. CoRR (2023)
Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao
Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning. CoRR (2023)
Jiarui Xie, Manuel Sage, Yaoyao Fiona Zhao
Feature selection and feature learning in machine learning applications for gas turbines: A review. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Zhenyang Gao, Guoying Dong, Yunlong Tang, Yaoyao Fiona Zhao
Machine learning aided design of conformal cooling channels for injection molding. J. Intell. Manuf. 34 (3) (2023)
Chonghui Zhang, Jiarui Xie, Ali Shanian, Mitch Kibsey, Yaoyao Fiona Zhao
A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations. ICCAD (2023)
Chonghui Zhang, Audrey Sedal, Yaoyao Fiona Zhao
Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots. RoboSoft (2023)
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao
Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition. CoRR (2023)
Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao
Fairness- and uncertainty-aware data generation for data-driven design. CoRR (2023)
Nikita Letov, Yaoyao Fiona Zhao
A geometric modelling framework to support the design of heterogeneous lattice structures with non-linearly varying geometry. J. Comput. Des. Eng. 9 (5) (2022)
Ying Zhang, Yaoyao Fiona Zhao
A Web-based automated manufacturability analyzer and recommender for additive manufacturing (MAR-AM) via a hybrid Machine learning model. Expert Syst. Appl. 199 (2022)
Yuan Liu, Huiyuan Yang, Yaoyao Fiona Zhao, Guolei Zheng
A heterogeneous lattice structure modeling technique supported by multiquadric radial basis function networks. J. Comput. Des. Eng. 9 (1) (2021)
Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung, Yaoyao Fiona Zhao
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles. SwissText/KONVENS (2020)
Sheng Yang, Thomas Page, Ying Zhang, Yaoyao Fiona Zhao
Towards an automated decision support system for the identification of additive manufacturing part candidates. J. Intell. Manuf. 31 (8) (2020)
Yunlong Tang, Guoying Dong, Qinxue Zhou, Yaoyao Fiona Zhao
Lattice Structure Design and Optimization With Additive Manufacturing Constraints. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)
Yunlong Tang, Aidan Kurtz, Yaoyao Fiona Zhao
Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing. Comput. Aided Des. 69 (2015)
Yaoyao Fiona Zhao, Xun William Xu
Integration of machining and inspection. Int. J. Comput. Aided Eng. Technol. 4 (1) (2012)
Yaoyao Fiona Zhao, Xun Xu, Tom Kramer, Frederick M. Proctor, John Horst
Dimensional metrology interoperability and standardization in manufacturing systems. Comput. Stand. Interfaces 33 (6) (2011)
Yaoyao Fiona Zhao, Xun Xu
Enabling cognitive manufacturing through automated on-machine measurement planning and feedback. Adv. Eng. Informatics 24 (3) (2010)