Cheng Wang

Computer Vision and Pattern Recognition · with Li · 2024

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Sergey Ioffe
  3. Jimmy Ba
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He

Papers from Cheng Wang's perspective

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

Their papers