Wu Zheng

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 194 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wu Zheng trusts overall

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

  1. Shaoshuai Shi
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Charles Ruizhongtai Qi
  8. Tsung-Yi Lin
  9. Ilya Loshchilov
  10. Yoshua Bengio

Who trusts Wu Zheng overall

  1. Rui Qian
  2. Hualian Sheng
  3. Xin Lai
  4. Yukang Chen
  5. Weiliang Tang

Papers from Wu Zheng's perspective

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

Their papers