Weiwei Zha

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiwei Zha trusts overall

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

  1. Barret Zoph
  2. Andrew Zisserman
  3. Patrick Kenny
  4. Arsha Nagrani
  5. Joon Son Chung
  6. Quoc V. Le
  7. Karen Simonyan
  8. Florin Curelaru
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Papers from Weiwei Zha's perspective

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

Their papers