Computer-Aided Inspection Planning - The state of the art. - Fiona Zhao; Xun Xu 001; Sheng Quan Xie (Comput. Ind., 2009)

Enabling cognitive manufacturing through automated on-machine measurement planning and feedback. - Yaoyao Fiona Zhao; Xun Xu 001 (Adv. Eng. Informatics, 2010)

Dimensional metrology interoperability and standardization in manufacturing systems. - Yaoyao Fiona Zhao; Xun Xu 001; Tom Kramer; Frederick M. Proctor; John Horst (Comput. Stand. Interfaces, 2011)

Integration of machining and inspection. - Yaoyao Fiona Zhao; Xun William Xu (Int. J. Comput. Aided Eng. Technol., 2012)

Bidirectional Evolutionary Structural Optimization (BESO) based design method for lattice structure to be fabricated by additive manufacturing. - Yunlong Tang 001; Aidan Kurtz; Yaoyao Fiona Zhao (Comput. Aided Des., 2015)

Lattice Structure Design and Optimization With Additive Manufacturing Constraints. - Yunlong Tang 001; Guoying Dong; Qinxue Zhou; Yaoyao Fiona Zhao (IEEE Trans Autom. Sci. Eng., 2018)

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 (SwissText/KONVENS, 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)

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)

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)

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)

Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations. - Manuel Sage; Martin Staniszewski; Yaoyao Fiona Zhao (ICCAD, 2023)

Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots. - Chonghui Zhang; Audrey Sedal; Yaoyao Fiona Zhao (RoboSoft, 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)

Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning. - Manuel Sage; Martin Staniszewski; Yaoyao Fiona Zhao (CoRR, 2023)

Fairness- and uncertainty-aware data generation for data-driven design. - Jiarui Xie; Chonghui Zhang; Lijun Sun; Yaoyao Fiona Zhao (CoRR, 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)

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)

Machine learning aided design of conformal cooling channels for injection molding. - Zhenyang Gao; Guoying Dong; Yunlong Tang 001; Yaoyao Fiona Zhao (J. Intell. Manuf., 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., 2023)

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 (CASE, 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 (CASE, 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)

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)

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing. - Jiarui Xie; Mutahar Safdar; Lequn Chen 002; Seung Ki Moon; Yaoyao Fiona Zhao (CoRR, 2024)

Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting. - Manuel Sage; Joshua Campbell; Yaoyao Fiona Zhao (CoRR, 2024)

BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum - A Knowledge Database to Support Multifunctional Design Concept Generation. - Pavan Tejaswi Velivela; Yaoyao Fiona Zhao (Data Intell., 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)

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)

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., 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., 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., 2024)

Understanding the Impact of Applying Large Language Model in Engineering Design Education. - Chonghui Zhang; Yaoyao Fiona Zhao; Randous El Haddad (J. Comput. Inf. Sci. Eng., 2025)

Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing. - Jiarui Xie; Yaoyao Fiona Zhao (CoRR, 2025)

A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction. - Bogdan Bogachov; Yaoyao Fiona Zhao (CoRR, 2025)

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage. - Manuel Sage; Khalil Al Handawi; Yaoyao Fiona Zhao (CoRR, 2025)