Weicheng Cai

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Weicheng Cai trusts overall

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

  1. Douglas A. Reynolds
  2. Patrick Kenny
  3. Ming Li
  4. Najim Dehak
  5. Kaiming He
  6. Daniel Garcia-Romero
  7. Yun Lei
  8. David Snyder
  9. William M. Campbell
  10. Simon J. D. Prince

Who trusts Weicheng Cai overall

  1. Joon Son Chung
  2. Arsha Nagrani
  3. Weidi Xie
  4. Erica Cooper
  5. Jörgen Valk
  6. Cheng-I Lai
  7. Hee-Soo Heo
  8. Edresson Casanova
  9. Yi Zhao
  10. Andrew Zisserman

Papers from Weicheng Cai's perspective

Ordered by how strongly the researchers Weicheng Cai 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers