Yuanqing Zhang

Computer Vision and Pattern Recognition · with Bao · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanqing Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Johannes L. Schönberger
  3. Lars M. Mescheder
  4. Michael Niemeyer
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Richard A. Newcombe
  8. William E. Lorensen
  9. Hanbyul Joo
  10. Vincent Sitzmann

Papers from Yuanqing Zhang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers