Ikjin Lee

Statistics and Probability · 2008–2019

A researcher in the Science corpus: 10 papers; trusts 25 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 70 citations into it; #3,369 of 12,932 by trust here, #2,629 by citations
• Computational Theory and Mathematics — 42 citations into it; #3,965 of 12,182 by trust here, #2,565 by citations
• Civil and Structural Engineering — 33 citations into it; #3,135 of 6,160 by trust here, #3,892 by citations
• Mechanics of Materials — 26 citations into it; #1,826 of 6,291 by trust here, #2,550 by citations
• Management Science and Operations Research — 19 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Environmental Engineering — 7 citations into it; #4,623 of 5,479 by trust here, #4,524 by citations
• Safety, Risk, Reliability and Quality — 7 citations into it; #1,189 of 1,220 by trust here, #1,076 by citations

Whom Ikjin Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sharif Rahman
2. H. Xu
3. Kyung K. Choi
4. Beiqing Huang
5. Xiaoping Du
6. Reuven Y. Rubinstein
7. Byeng Dong Youn
8. Liu Du
9. Yoojeong Noh
10. D. Wei

Who trusts Ikjin Lee overall

1. Jongmin Lim
2. Byungchai Lee
3. Behrooz Keshtegar
4. Yoojeong Noh
5. Marcos A. Valdebenito
6. Kyung K. Choi
7. Xiaoping Du
8. Chao Jiang
9. David J. Gorsich
10. Gerhart I. Schuëller

Papers from Ikjin Lee's perspective

Ordered by how strongly the researchers Ikjin Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics
2. Simulation and the Monte Carlo method
3. GENERATIVE ADVERSARIAL NETS
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Methods of structural safety
6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
7. ImageNet classification with deep convolutional neural networks
8. Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method
9. A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Identification of marginal and joint CDFs using Bayesian method for RBDO (2009) — 95 citations
• Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems (2008) — 220 citations
• Reliability-based design optimization with confidence level under input model uncertainty due to limited test data (2011) — 58 citations
• A Novel Second-Order Reliability Method (SORM) Using Noncentral or Generalized Chi-Squared Distributions (2012) — 95 citations
• Sensitivity analyses of FORM‐based and DRM‐based performance measure approach (PMA) for reliability‐based design optimization (RBDO) (2010) — 70 citations
• Deep Generative Design: Integration of Topology Optimization and Generative Models (2019) — 410 citations
• Relaxed performance measure approach for reliability-based design optimization (2016) — 76 citations
• Second‐order reliability method‐based inverse reliability analysis using Hessian update for accurate and efficient reliability‐based design optimization (2014) — 101 citations
• Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems with Correlated Random Variables (2011) — 96 citations
• System reliability-based design optimization using the MPP-based dimension reduction method (2010) — 56 citations