Kai‐Kit Wong

Electrical and Electronic Engineering · 2011–2022

A researcher in the Science corpus: 14 papers; trusts 40 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Kai‐Kit Wong trusts overall

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

  1. Yong Zeng
  2. Erik G. Larsson
  3. Rui Zhang
  4. T. Marzetta
  5. Hien Quoc Ngo
  6. Ashish J. Khisti
  7. Ertugrul Basar
  8. Qingqing Wu
  9. Stephen P. Boyd
  10. Lizhong Zheng

Who trusts Kai‐Kit Wong overall

  1. Zhiguo Ding
  2. Lipeng Zhu
  3. Wenyan Ma
  4. Robert Schober
  5. Rui Zhang
  6. H. Vincent Poor
  7. Hai-xia Peng
  8. Qiang Li
  9. Zhenjian Yu
  10. Li Fan

Papers from Kai‐Kit Wong's perspective

Ordered by how strongly the researchers Kai‐Kit Wong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Information Theory: 1948-1998 - Guest Editorial
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. What Will 5G Be?

Their papers