Cong Zhao

Computer Vision and Pattern Recognition · with Lin · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Cong Zhao trusts overall

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

  1. Yoshua Bengio
  2. Kaiming He
  3. Sergey Ioffe
  4. Christian Szegedy
  5. Jia Deng
  6. Geoffrey E. Hinton
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. X. Zhang

Who trusts Cong Zhao overall

  1. Haotong Qin
  2. Ruihao Gong
  3. Bohan Zhuang
  4. Ron Banner
  5. Zechun Liu
  6. Jing Liu
  7. Sebastian Caldas
  8. Peisong Wang
  9. Dongqing Zhang
  10. Milad Alizadeh

Papers from Cong Zhao's perspective

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

Their papers