Guangquan Zhang

Artificial Intelligence · 2007–2021

A researcher in the Science corpus: 8 papers; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Guangquan Zhang trusts overall

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

  1. Gerhard Widmer
  2. Albert Bifet
  3. Arthur Gretton
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yoav Freund
  7. Diederik P. Kingma
  8. João Gama
  9. Yoshua Bengio
  10. Shai Ben-David

Who trusts Guangquan Zhang overall

  1. Jie Lu
  2. Harrison Mutikanga

Papers from Guangquan Zhang's perspective

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

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

Their papers