Wei Chen
Orcid: 0000-0001-8305-0035Affiliations:
- Northwestern University, Department of Mechanical Engineering, Evanston, IL, USA
- Shanghai Jiao Tong University, China
- Georgia Institute of Technology, Department of Mechanical Engineering, Atlanta, GA, USA (PhD 1995)
According to our database1,
Wei Chen
authored at least 49 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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Bibliography
2025
Uncertainty quantification driven machine learning for improving model accuracy in imbalanced regression tasks.
Expert Syst. Appl., 2025
2024
Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration.
CoRR, 2024
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning.
CoRR, 2024
2023
SIAM/ASA J. Uncertain. Quantification, December, 2023
Patterns, September, 2023
CoRR, 2023
Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process.
CoRR, 2023
Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design.
CoRR, 2023
Physics-aware differentiable design of magnetically actuated kirigami for shape morphing.
CoRR, 2023
2022
CoRR, 2022
T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning.
CoRR, 2022
Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty.
CoRR, 2022
Complex., 2022
2021
An Electrochemical Ti3C2Tx Aptasensor for Sensitive and Label-Free Detection of Marine Biological Toxins.
Sensors, 2021
J. Chem. Inf. Model., 2021
Towards Improving the Efficiency of Organic Solar Cells by Coarse-Grained Atomistic Modeling of Processing Dependent Morphologies.
Comput. Sci. Eng., 2021
Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization.
CoRR, 2021
Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending.
CoRR, 2021
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors.
CoRR, 2021
Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization.
CoRR, 2021
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design.
CoRR, 2021
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
2020
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors.
Technometrics, 2020
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization.
CoRR, 2020
CoRR, 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems.
CoRR, 2020
Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process.
CoRR, 2020
CoRR, 2020
CoRR, 2020
2019
Label-Free Detection of E. coli O157: H7 DNA Using Light-Addressable Potentiometric Sensors with Highly Oriented ZnO Nanorod Arrays.
Sensors, 2019
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods.
CoRR, 2019
An in-vivo bioelectronic nose using bioengineered olfactory system of rat as sensitive elements towards explosive detection.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
2018
A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations.
Complex., 2018
2017
Proceedings of the 2017 ACM on Web Science Conference, 2017
2016
Time-variant reliability assessment through equivalent stochastic process transformation.
Reliab. Eng. Syst. Saf., 2016
2013
Lightweight design of vehicle parameters under crashworthiness using conservative surrogates.
Comput. Ind., 2013
Computational microstructure characterization and reconstruction for stochastic multiscale material design.
Comput. Aided Des., 2013
2012
Use of support vector regression in structural optimization: Application to vehicle crashworthiness design.
Math. Comput. Simul., 2012
2009
IEEE Trans. Engineering Management, 2009
J. Comput. Inf. Sci. Eng., 2009