Yinjun Wu

Artificial Intelligence · 2020

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yinjun Wu trusts overall

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

  1. L. Eon Bottou
  2. Sanjay Krishnan
  3. Finale Doshi-Velez
  4. R. Dennis Cook
  5. Jorge Nocedal
  6. Vladimir G Vovk
  7. Yann LeCun
  8. Richard H. Byrd
  9. Joel A. Tropp
  10. Kaiming He

Who trusts Yinjun Wu overall

  1. Ayush Kumar Tarun
  2. Takashi Shibata
  3. Aditya Golatkar
  4. Vikram S Chundawat
  5. Jonathan Brophy
  6. Anvith Thudi
  7. Go Irie
  8. Alessandro Achille
  9. Murari Mandal

Papers from Yinjun Wu's perspective

Ordered by how strongly the researchers Yinjun Wu 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers