Huaimin Wang

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 6 papers; trusts 38 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Huaimin Wang trusts overall

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

  1. Alex Krizhevsky
  2. Georgios Gousios
  3. Geoffrey E. Hinton
  4. Anthony Dewayne Hunt
  5. Marko Vukolic
  6. Richard S. Sutton
  7. Individualized Treat
  8. Diederik P. Kingma
  9. Diane Lambert
  10. Ilya Sutskever

Who trusts Huaimin Wang overall

  1. Harald P. E. Vranken

Papers from Huaimin Wang's perspective

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

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

Their papers