Yaoyao Fiona Zhao
Orcid: 0000-0003-4927-0514
According to our database1,
Yaoyao Fiona Zhao
authored at least 30 papers
between 2009 and 2024.
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Bibliography
2024
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning.
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.
J. Comput. Inf. Sci. Eng., April, 2024
Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing.
Comput. Ind., January, 2024
A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling.
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.
Expert Syst. Appl., 2024
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing.
CoRR, 2024
Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models.
CoRR, 2024
Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.
CoRR, 2024
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
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.
J. Intell. Manuf., December, 2023
J. Intell. Manuf., March, 2023
A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials.
Eng. Appl. Artif. Intell., 2023
Feature selection and feature learning in machine learning applications for gas turbines: A review.
Eng. Appl. Artif. Intell., 2023
Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams.
CoRR, 2023
Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots.
Proceedings of the IEEE International Conference on Soft Robotics, 2023
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations.
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.
J. Comput. Des. Eng., 2022
A Web-based automated manufacturability analyzer and recommender for additive manufacturing (MAR-AM) via a hybrid Machine learning model.
Expert Syst. Appl., 2022
2021
A heterogeneous lattice structure modeling technique supported by multiquadric radial basis function networks.
J. Comput. Des. Eng., 2021
2020
Towards an automated decision support system for the identification of additive manufacturing part candidates.
J. Intell. Manuf., 2020
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020
2018
IEEE Trans Autom. Sci. Eng., 2018
2015
Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing.
Comput. Aided Des., 2015
2012
2011
Comput. Stand. Interfaces, 2011
2010
Enabling cognitive manufacturing through automated on-machine measurement planning and feedback.
Adv. Eng. Informatics, 2010
2009