Kuang‐Yao Lee

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it
• Artificial Intelligence — 5 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Kuang‐Yao Lee trusts overall

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

1. Ker-Chau Li
2. Francis R. Bach
3. Ronald Christensen
4. Shotaro Akaho
5. Bing Li
6. R. Dennis Cook
7. Roger A. Horn
8. T. Hsing
9. Michael I. Jordan
10. Kenji Fukumizu

Papers from Kuang‐Yao Lee's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Long Short-Term Memory
9. Sliced Inverse Regression for Dimension Reduction
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A general theory for nonlinear sufficient dimension reduction: Formulation and estimation (2013) — 110 citations