Huihui Wang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huihui Wang trusts overall

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

  1. Lin Xiao
  2. Taiji Suzuki
  3. Bingsheng He
  4. Stan Salvador
  5. Shai Shalev-Shwartz
  6. Guanghui Lan
  7. Pedro A. Forero
  8. Caoxie Zhang
  9. Martin A. Zinkevich
  10. Tom Goldstein

Who trusts Huihui Wang overall

  1. Anis Elgabli
  2. Jihong Park

Papers from Huihui Wang's perspective

Ordered by how strongly the researchers Huihui 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers