Journal Publications
Shaoliang Yang and Jun Wang. "Triple-parametric autoencoder for 2D reparameterization via Bézier, B-spline, and NURBS representations." Computer-Aided Design (2025). https://doi.org/10.1016/j.cad.2025.103936
Shaoliang Yang, Jun Wang, and Kang Wang. "NURBS-OT: An Advanced Model for Generative Curve Modeling." Journal of Mechanical Design (2024). https://doi.org/10.1115/1.4066549
Millad Habibi, Shai Bernard, Jun Wang, and Mark Fuge. "Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods." Journal of Mechanical Design (2024). https://doi.org/10.1115/1.4066102
Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, and Zhibo Zhang. "Deep Learning in Computational Design Synthesis: A Comprehensive Review." Journal of Computing and Information Science in Engineering (2023). https://doi.org/10.1115/1.4064215
Sina Rastegarzadeh, Jun Wang, and Jida Huang. "Implicitly Represented Architected Materials for Multi-Scale Design and High-Resolution Additive Manufacturing" has been accepted and is available online in Advanced Materials Technologies (2023). https://doi.org/10.1002/admt.202300274
Darshil Patel, Ruoyu Yang, Jun Wang, Rahul Rai, and Gary Gargush. "Deep learning-based inverse design framework for property targeted novel architectured interpenetrating phase composites." Composite Structures (2023). 10.1016/j.compstruct.2023.116783
Sina Rastegarzadeh, Jun Wang, and Jida Huang. "Neural Network-Assisted Design: A Study of Multiscale Topology Optimization With Smoothly Graded Cellular Structures." Journal of Mechanical Design (2022). [PDF]
Sina Rastegarzadeh, Jun Wang, and Jida Huang. "Two-Scale Topology Optimization with Isotropic and Orthotropic Microstructures." Designs (2022). https://www.mdpi.com/2411-9660/6/5/73.
Jun Wang, Wei (Wayne) Chen, Daicong Da, Mark Fuge, and Rahul Rai. "IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures." Computer Methods in Applied Mechanics and Engineering (2022). https://authors.elsevier.com/a/1f7TmAQEIzVqB.
Jun Wang and Jida Huang. "Functionally Graded Non-Periodic Cellular Structure Design and Optimization." Journal of Computing and Information Science in Engineering (2021). https://doi.org/10.1115/1.4053039. [PDF]
Qiuyi Chen, Jun Wang, Phillip Pope, Wei (Wayne) Chen, and Mark Fuge. "Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods." Journal of Mechanical Design (2021). https://doi.org/10.1115/1.4052846. [PDF]
Jun Wang, Jesse Callanan, Oladapo Ogunbodede, and Rahul Rai. "Hierarchical combinatorial design and optimization of non-periodic metamaterial structures." Additive Manufacturing (2020). https://doi.org/10.1016/j.addma.2020.101710. [PDF]
Jun Wang and Rahul Rai. "Generative design of conformal cubic periodic cellular structures using a surrogate model-based optimization scheme." International Journal of Production Research (2020). https://doi.org/10.1080/00207543.2020.1859637. [PDF]
Jun Wang, Rahul Rai, and Jason Armstrong. "Investigation of Compressive Deformation Behaviors of Cubic Periodic Cellular Structural Cubes through 3D Printed Parts and FE Simulations." Rapid Prototyping Journal (2019). https://doi.org/10.1108/RPJ-03-2019-0069. [PDF]
Aditya Khadikar, Jun Wang, and Rahul Rai. "Deep Learning-Based Stress Prediction for Bottom-Up SLA 3D Printing Process." The International Journal of Advanced Manufacturing Technology 102, no. 5-8 (2019): 2555-2569. https://doi.org/10.1007/s00170-019-03363-4. [PDF]
Jun Wang, Sonjoy Das, Rahul Rai, and Chi Zhou. "Data-Driven Simulation for Fast Prediction of Pull-Up Process in Bottom-Up Stereo-lithography." Computer-Aided Design 99 (2018): 29-42. https://doi.org/10.1016/j.cad.2018.02.002. [PDF]
Patents
Rahul Rai and Jun Wang. "Periodic Cellular Structure Based Design for Additive Manufacturing Approach for Light Weighting and Optimizing Strong Functional Parts." U.S. Patent Application No. 17/141,169. https://patents.google.com/patent/US20210216683A1/en (2021). [PDF]
Peer-Reviewed Conference Publications
Arthur Drake, Jun Wang, Qiuyi Chen, Ardalan Nejat, James Guest, Mark Fuge. "To Quantize or Not to Quantize: Effects on Generative Models for 2D Heat Sink Design." Proceedings of ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 25-28, 2024, Washington, DC, USA. https://doi.org/10.1115/DETC2024-142052
Shaoliang Yang, Kang Wang, Jun Wang. "Enhancing Isogeometric Analysis with NURBS-Based Synthesis." Proceedings of ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 25-28, 2024, Washington, DC, USA. https://doi.org/10.1115/DETC2024-142195
Jun Wang and Mark Fuge. "Training Efficiency Gains in Data-Driven 2D Airfoil Inverse Design using Active Learning." Proceedings of AIAA SCITECH 2024 Forum, January 8-12, 2024, Orlando, Florida, USA. https://arc.aiaa.org/doi/abs/10.2514/6.2024-1229
Milad Habibi, Jun Wang, Mark Fuge. "When Is it Actually Worth Learning Inverse Design?" Proceedings of ASME 2023 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 20-23, 2023, Boston, Massachusetts, USA. https://doi.org/10.1115/DETC2023-116678.
Jun Wang and Rahul Rai. "Design and Optimization of Quasi-Periodic Volumetric Microstructures by Aperiodic Tiling and Implicit Function." Proceedings of ASME 2023 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 20-23, 2023, Boston, Massachusetts, USA. https://doi.org/10.1115/DETC2023-116668.
Yunchen Li and Jun Wang. "Air Shield Design for Preventing Inhalation on Turbofan-Engines of Passenger-Jets." Proceedings of ASME 2023 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 20-23, 2023, Boston, Massachusetts, USA. https://doi.org/10.1115/DETC2023-116881.
Sina Rastegarzadeh, Jida Huang, and Jun Wang. "Architected Cellular Materials for Aerospace Components Design and Manufacturing." Proceedings of ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference, June 19-21, 2023, San Diego, CA, USA. https://doi.org/10.1115/SSDM2023-107329.
Shai Bernard, Jun Wang, Mark Fuge. "Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods." Proceedings of ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 14-17, 2022, St. Louis, Missouri, USA. https://doi.org/10.1115/DETC2022-90065.
Sina Rastegarzadeh, Jun Wang, and Jida Huang. "Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer." Proceedings of ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 14-17, 2022, St. Louis, Missouri, USA. https://doi.org/10.1115/DETC2022-89538.
Jun Wang and Jida Huang. "Functionally Graded Non-Periodic Cellular Structure Design Using a Surrogate Model-Based Optimization Scheme." Proceedings of ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 17-19, 2021, Online, Virtual, USA. (2021 ASME CIE Best Paper Award). https://doi.org/10.1115/DETC2021-71678. [PDF]
Sina Rastegarzadeh, Jun Wang, and Jida Huang. "Two-Scale Topology Optimization with Parameterized Cellular Structures." Proceedings of ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 17-19, 2021, Online, Virtual, USA. https://doi.org/10.1115/DETC2021-71980. [PDF]
Jun Wang, Kevin Chiu, and Mark Fuge. "Learning to Abstract and Compose Mechanical Device Function and Behavior." Proceedings of ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 16-19, 2020, St. Louis, Missouri, USA. https://doi.org/10.1115/DETC2020-22714. [PDF]
Jesse Callanan, Oladapo Ogunbodede, Maulikkumar Dhameliya, Jun Wang, and Rahul Rai. "Hierarchical Combinatorial Design and Optimization of Quasi-Periodic Metamaterial Structures." Proceedings of ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 26-29, 2018, Quebec City, Quebec, Canada. https://doi.org/10.1115/DETC2018-85914. [PDF]
Jun Wang and Rahul Rai. "Classification of Bio-Inspired Periodic Cubic Cellular Materials Based on Compressive Deformation Behaviors of 3D Printed Parts and FE Simulations." Proceedings of ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 21-24, 2016, Charlotte, North Carolina, USA. https://doi.org/10.1115/DETC2016-59729. [PDF]
Jun Wang, Sonjoy Das, Chi Zhou, and Rahul Rai. "Data-Driven Simulation for Fast Prediction of Pull-Up Process in Bottom-Up Stereo-Lithography." Proceedings of ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 21-24, 2016, Charlotte, North Carolina, USA. https://doi.org/10.1115/DETC2016-59723. [PDF]
Workshops
Jun Wang, Wei (Wayne) Chen, Daicong Da, Mark Fuge, and Rahul Rai. "IH-GAN: A Conditional Generative Model for Inverse Design of Heterogeneous Cellular Structures ." Conference: The Thirty-ninth International Conference on Machine Learning (ICML 2022). [PDF]
Preprints
Sina Rastegarzadeh, Jun Wang, and Jida Huang. "Study the Effect of Microstructures with Anisotropic Mechanical Properties in Two-Scale Topology Optimization." http://dx.doi.org/10.2139/ssrn.3997650 (2021). [PDF]
Jun Wang, Wei Chen, Mark Fuge, and Rahul Rai. "IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures." https://arxiv.org/abs/2103.02588 (2021). [PDF]
Thesis
"Integrated Framework for Design Exploration and Analysis of Periodic, Non-periodic, and Quasi-periodic Cellular Structures Based Components." Thesis for Ph.D., February 2019. [PDF]