Yee Leung

Signal Processing · IEEE Transactions on Knowledge and Data Engineering · 1997–2017

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Yee Leung trusts overall

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

  1. Adrian W. Bowman
  2. J. Ross Quinlan
  3. William S. Cleveland
  4. R. Słowiński
  5. Andrew P. Witkin
  6. Alan L. Yuille
  7. Matt P. Wand
  8. Eugene L. Allgower
  9. Salvatore Greco
  10. Yiyu Yao

Who trusts Yee Leung overall

  1. Changlin Mei
  2. Danlin Yu
  3. Giovanna Menardi
  4. Siwei Lyu
  5. Dorin Comaniciu
  6. Marco Helbich
  7. Ning Wang
  8. Wenxiu Zhang
  9. Weizhi Wu
  10. Michael Löchl

Papers from Yee Leung's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers