Jong-Min Lee

Analytical Chemistry · with Lee · 2004–2008

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 11 citations into it; #252 of 1,254 by trust here, #183 by citations
• Artificial Intelligence — 10 citations into it
• Control and Systems Engineering — 10 citations into it; #1,606 of 8,257 by trust here, #891 by citations
• Statistics and Probability — 10 citations into it; #10,572 of 12,932 by trust here, #4,253 by citations
• Signal Processing — 8 citations into it; #6,170 of 7,572 by trust here, #4,201 by citations

Whom Jong-Min Lee trusts overall

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

1. Aapo Hyvärinen
2. Bernhard Schölkopf
3. Bernard Walter Silverman
4. Mark A. Kramer
5. S. Qin
6. Leo H. Chiang
7. Erkki Oja
8. Alex Smola
9. Geoffrey E. Hinton

Who trusts Jong-Min Lee overall

1. Qingchao Jiang
2. Xue-feng Yan
3. Zhiqiang Ge
4. S. Qin
5. Shen Yin
6. Jie Yu
7. Ying-wei Zhang
8. Jianping Ma
9. Steven X. Ding
10. Zhihuan Song

Papers from Jong-Min Lee's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Learning Multiple Layers of Features from Tiny Images
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Fault detection and diagnosis based on modified independent component analysis (2006) — 394 citations
• Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis (2008) — 194 citations
• Fault detection and identification of nonlinear processes based on kernel PCA (2005) — 452 citations
• Fault identification for process monitoring using kernel principal component analysis (2005) — 302 citations
• Statistical process monitoring with independent component analysis (2004) — 726 citations
• Statistical monitoring of dynamic processes based on dynamic independent component analysis (2004) — 334 citations
• Nonlinear process monitoring using kernel principal component analysis (2004) — 1,044 citations