William Kwok-Wai Cheung

Statistical and Nonlinear Physics · 2007–2016

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom William Kwok-Wai Cheung trusts overall

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

  1. Jon M. Kleinberg
  2. Miroslav Fiedler
  3. Mark Newman
  4. Michelle Girvan
  5. Jianbo Shi
  6. L. V. D. van der Maaten
  7. Geoffrey E. Hinton
  8. Tomas Mikolov
  9. Steven H. Strogatz
  10. Bryan Perozzi

Who trusts William Kwok-Wai Cheung overall

  1. X. Shen
  2. Quan Zheng
  3. J´erˆome Kunegis
  4. Jiliang Tang

Papers from William Kwok-Wai Cheung's perspective

Ordered by how strongly the researchers William Kwok-Wai Cheung 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers