Guodong Wang

Artificial Intelligence · with Ding · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Guodong Wang trusts overall

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

  1. Alex Krizhevsky
  2. Paul Bergmann
  3. Thomas Schlegl
  4. Geoffrey E. Hinton
  5. Sergey Zagoruyko
  6. Kaiming He
  7. Yann LeCun
  8. Izhak Golan
  9. Niv Cohen
  10. Jihun Yi

Who trusts Guodong Wang overall

  1. Hanqiu Deng
  2. Kilian Batzner
  3. Zhiyuan You
  4. Xingyu Li
  5. Lars Heckler

Papers from Guodong Wang's perspective

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

Their papers