Soung Chang Liew

Computer Networks and Communications · 2003–2017

A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Soung Chang Liew trusts overall

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

  1. Bobak Anthony Nazer
  2. Petar Popovski
  3. Boris Rankov
  4. Shengli Zhang
  5. Yunnan Wu
  6. Wooseok Nam
  7. Makesh Pravin Wilson
  8. Sachin Rajsekhar Katti
  9. Christina Fragouli
  10. Michael C. Gastpar

Who trusts Soung Chang Liew overall

  1. Sangtae Ha
  2. Raouf Boutaba
  3. Bobak Anthony Nazer

Papers from Soung Chang Liew's perspective

Ordered by how strongly the researchers Soung Chang Liew 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. Human-level control through deep reinforcement learning
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Network information flow (IEEE Transactions on Information Theory)
  7. Long Short-Term Memory
  8. Reinforcement Learning: An Introduction
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers