Choong Seon Hong

Artificial Intelligence · IEEE Communications Magazine · 2006–2021

A researcher in the Science corpus: 12 papers; trusts 49 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Choong Seon Hong trusts overall

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

  1. Jakub Konecný
  2. H. Brendan McMahan
  3. Stephen P. Boyd
  4. Virginia Smith
  5. Yurii E. Nesterov
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Peter Richtárik
  9. Mingzhe Chen
  10. Geoffrey E. Hinton

Who trusts Choong Seon Hong overall

  1. Mingzhe Chen
  2. Zhaohui Yang
  3. Walid Saad
  4. Dinh C. Nguyen

Papers from Choong Seon Hong's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers