Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space. - Wei Chen 111; Mark D. Fuge (CoRR, 2017)

BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters. - Wei Chen 111; Mark D. Fuge (CoRR, 2018)

Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization. - Wei Chen 111; Mark D. Fuge (CoRR, 2020)

Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks. - Wei Chen 111; Kevin N. Chiu; Mark D. Fuge (CoRR, 2020)

PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. - Amin Heyrani Nobari; Wei Chen 111; Faez Ahmed (KDD, 2021)

MO-PaDGAN: Reparameterizing Engineering Designs for augmented multi-objective optimization. - Wei Chen 111; Faez Ahmed (Appl. Soft Comput., 2021)

IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures. - Jun Wang; Wei Wayne Chen; Mark D. Fuge; Rahul Rai (CoRR, 2021)

Deep Generative Models for Geometric Design Under Uncertainty. - Wei Wayne Chen; Doksoo Lee; Wei Chen 041 (CoRR, 2021)

Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty. - Wei Wayne Chen; Doksoo Lee; Oluwaseyi Balogun; Wei Chen 041 (CoRR, 2022)

T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning. - Doksoo Lee; Yu-Chin Chan; Wei Wayne Chen; Liwei Wang; Anton van Beek; Wei Chen 041 (CoRR, 2022)

Uncertainty-aware Mixed-variable Machine Learning for Materials Design. - Hengrui Zhang; Wei Wayne Chen; Akshay Iyer; Daniel W. Apley; Wei Chen 041 (CoRR, 2022)

ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data. - Hengrui Zhang; Wei Wayne Chen; James M. Rondinelli; Wei Chen 041 (CoRR, 2022)

Data-Driven Design for Metamaterials and Multiscale Systems: A Review. - Doksoo Lee; Wei Wayne Chen; Liwei Wang; Yu-Chin Chan; Wei Chen 041 (CoRR, 2023)

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning. - Wei Wayne Chen; Rachel Sun; Doksoo Lee; Carlos M. Portela; Wei Chen 041 (CoRR, 2024)

The Future of Digital Twin Research and Development. - Douglas L. Van Bossuyt; Douglas Allaire; Jason Bickford; Thomas A. Bozada; Wei Wayne Chen; Roger P. Cutitta; Robert Cuzner; Kristen Fletcher; Ronald Giachetti; Britta Hale; H. Howie Huang; Michael Keidar; et al. (J. Comput. Inf. Sci. Eng., 2025)