Ruicheng Wang

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruicheng Wang trusts overall

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

  1. Johannes L. Schönberger
  2. Ross B. Girshick
  3. Kaiming He
  4. Lihe Yang
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Stephen P. Boyd
  8. David Eigen
  9. Diederik P. Kingma
  10. Yoshua Bengio

Papers from Ruicheng Wang's perspective

Ordered by how strongly the researchers Ruicheng Wang 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers