Yongsu Jung

发表

Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization pdf

Ikjin Lee, Namwoo Kang, Sangeun Oh, 2019, ArXiv.

Deep Generative Design: Integration of Topology Optimization and Generative Models

Ikjin Lee, Seongsin Kim, Namwoo Kang, 2019, Journal of Mechanical Design.

Modified augmented Lagrangian coordination and alternating direction method of multipliers with parallelization in non-hierarchical analytical target cascading

Ikjin Lee, Namwoo Kang, Yongsu Jung, 2018 .

Intelligent initial point selection for MPP search in reliability-based design optimization

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2020 .

Most Probable Point-Based Approximated Dimension Reduction Method in Reliability-Based Design Optimization

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2018, DAC 2018.

Design Automation by Integrating Generative Adversarial Networks and Topology Optimization

Ikjin Lee, Namwoo Kang, Sangeun Oh, 2018, Volume 2A: 44th Design Automation Conference.

Confidence-Based Design Optimization Under Data Uncertainty Using Most Probable Point-Based Approach

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2019, DAC 2019.

Reliability measure approach for confidence-based design optimization under insufficient input data

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2019, Structural and Multidisciplinary Optimization.

Convergence Strategy for Parallel Solving of Analytical Target Cascading with Augmented Lagrangian Coordination

Ikjin Lee, Namwoo Kang, Yongsu Jung, 2017 .

Reliability-based multi-scale design optimization of composite frames considering structural compliance and manufacturing constraints

Jun Yan, Ikjin Lee, Yongsu Jung, 2020, Structural and Multidisciplinary Optimization.

MPP-based approximated DRM (ADRM) using simplified bivariate approximation with linear regression

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2018, Structural and Multidisciplinary Optimization.

Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation

Ikjin Lee, Jongmin Lee, Namwoo Kang, 2020 .

Determination of the Number of Input Data Through Bi-Objective Confidence-Based Design Optimization

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2019, DAC 2019.

Determination of sample size for input variables in RBDO through bi-objective confidence-based design optimization under input model uncertainty

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2020, Structural and Multidisciplinary Optimization.

Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients

Ikjin Lee, Yongsu Jung, Hwisang Jo, 2021, Structural and Multidisciplinary Optimization.

Confidence-Based Design Optimization for a More Conservative Optimum Under Surrogate Model Uncertainty Caused by Gaussian Process

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2021 .