Rui Wang

Computer Vision and Pattern Recognition · with Cheng · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rui Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Alec Radford

Papers from Rui Wang's perspective

Ordered by how strongly the researchers Rui 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers