Chong Wang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chong Wang trusts overall

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

  1. Sergey Ioffe
  2. Barret Zoph
  3. Quoc V. Le
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Esteban Real

Papers from Chong Wang's perspective

Ordered by how strongly the researchers Chong Wang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers