Byeng Dong Youn
Statistics and Probability · 2004–2022
A researcher in the Science corpus: 16 papers; trusts 30 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 66 citations into it; #1,549 of 12,932 by trust here, #1,506 by citations
- Artificial Intelligence — 51 citations into it
- Control and Systems Engineering — 40 citations into it; #7,204 of 8,257 by trust here, #5,227 by citations
- Electrical and Electronic Engineering — 36 citations into it; #12,887 of 16,539 by trust here, #5,675 by citations
- Mechanical Engineering — 35 citations into it
- Management Science and Operations Research — 32 citations into it; #5,213 of 11,946 by trust here, #7,638 by citations
- Computational Theory and Mathematics — 27 citations into it; #1,460 of 12,182 by trust here, #1,587 by citations
- Automotive Engineering — 25 citations into it
Whom Byeng Dong Youn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Xu
- Sharif Rahman
- Marco Savoia
- Xiaoping Du
- Kyung K. Choi
- Yasuhiro Omori
- Beiqing Huang
- Lotfi A. Zadeh
- Bhaskar Saha
- Liu Du
Who trusts Byeng Dong Youn overall
- Kyung K. Choi
- Dixiong Yang
- Liu Du
- Zhimin Xi
- Zhen Hu
- Zhan Kang
- Yoojeong Noh
- Ikjin Lee
- Yangjun Luo
- Chao Hu
Papers from Byeng Dong Youn's perspective
Ordered by how strongly the researchers Byeng Dong Youn trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Simulation and the Monte Carlo method
- Human-level control through deep reinforcement learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics
- Attention is All you Need (Neural Information Processing Systems)
- Neural Networks for Pattern Recognition
Their papers
- Enriched Performance Measure Approach for Reliability-Based Design Optimization. (2005) — 343 citations
- An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches (2004) — 261 citations
- Inverse Possibility Analysis Method for Possibility-Based Design Optimization (2006) — 88 citations
- A NEW FUZZY ANALYSIS METHOD FOR POSSIBILITY-BASED DESIGN OPTIMIZATION (2004) — 49 citations
- A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation (2010) — 471 citations
- Physics-of-Failure, Condition Monitoring, and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review (2015) — 454 citations
- Reliability-based robust design optimization using the eigenvector dimension reduction (EDR) method (2009) — 94 citations
- Complementary Intersection Method for System Reliability Analysis (2009) — 67 citations
- Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis (2008) — 194 citations
- Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life (2011) — 367 citations
- Inverse reliability measures and reliability-based design optimisation (2006) — 52 citations
- A Generalized Complementary Intersection Method (GCIM) for System Reliability Analysis (2011) — 66 citations
- Integration of Possibility-Based Optimization and Robust Design for Epistemic Uncertainty (2007) — 93 citations
- A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022) — 355 citations
- Two-dimensional octagonal phononic crystals for highly dense piezoelectric energy harvesting (2019) — 133 citations
- A comparative study of probability estimation methods for reliability analysis (2011) — 68 citations