Lexing Ying

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 7 papers; trusts 57 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Lexing Ying trusts overall

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

  1. E.J. Candes
  2. Stéphane Mallat
  3. David L. Donoho
  4. Leslie Greengard
  5. Oscar P. Bruno
  6. Xavier Ros-Oton
  7. Timothy Dozat
  8. Kaiming He
  9. Maizar Raissi
  10. Luis Caffarelli

Who trusts Lexing Ying overall

  1. Michael J. Shelley
  2. Zong-Yi Li
  3. Victor Minden
  4. Nikola B. Kovachki
  5. Felix J. Herrmann
  6. Sivaram Ambikasaran
  7. Gilles Hennenfent
  8. Guofei Pang
  9. Jianwei Ma
  10. Kamyar Azizzadenesheli

Papers from Lexing Ying's perspective

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

Their papers