M. Wang

Computer Vision and Pattern Recognition · Nature Communications · 2010–2018

A researcher in the Science corpus: 14 papers; trusts 389 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom M. Wang trusts overall

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

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

Who trusts M. Wang overall

  1. Yan-Tsung Peng
  2. Brendan Jennings
  3. John Yi-Wu Chiang
  4. Rolf Stadler
  5. Pamela C. Cosman
  6. Paulo L. J. Drews-Jr
  7. Charles Ruizhongtai Qi
  8. Zexian Zeng
  9. Ying-Ching Chen

Papers from M. Wang's perspective

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

Their papers