Wen Wu

Artificial Intelligence · with Zhou · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wen Wu trusts overall

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

  1. Roberto Minerva
  2. Xuemin Shen
  3. Alex Krizhevsky
  4. Shi-Chieh Lin
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Song Han
  8. Ilya Sutskever
  9. G. Lee

Papers from Wen Wu's perspective

Ordered by how strongly the researchers Wen Wu 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers