Philip Ka-Fai Chan

Signal Processing · 1997–2007

A researcher in the Science corpus: 9 papers; trusts 36 researchers and is trusted by 88 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Ka-Fai Chan trusts overall

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

  1. William W. Cohen
  2. Eamonn J. Keogh
  3. David Hilton Wolpert
  4. J. Ross Quinlan
  5. Robert Tibshirani
  6. Matthew V. Mahoney
  7. Michail Vlachos
  8. Chotirat (Ann) Ratanamahatana
  9. Richard P. Lippmann
  10. Mark H. Hansen

Who trusts Philip Ka-Fai Chan overall

  1. Charu C. Aggarwal
  2. Tak-Chung Fu
  3. Gary M. Weiss
  4. Varun Chandola
  5. Klaus Julisch
  6. Faisal Kamiran
  7. Krikamol Muandet
  8. Liang Xiong
  9. Blaine Nelson
  10. Foster J. Provost

Papers from Philip Ka-Fai Chan's perspective

Ordered by how strongly the researchers Philip Ka-Fai Chan trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers