Yonggang Wen

Computer Vision and Pattern Recognition · IEEE Network · 2012–2020

A researcher in the Science corpus: 11 papers; trusts 856 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yonggang Wen trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Karen Simonyan
  9. David G. Lowe
  10. Radford M. Neal

Who trusts Yonggang Wen overall

  1. Xu Chen
  2. Xu Chen
  3. Liekang Zeng
  4. Martijn Koot
  5. Sumit Majumder
  6. Changsheng You
  7. Mandeep Kaur Saggi
  8. Estela Marine-Roig
  9. Amr A. Munshi
  10. Yuyi Mao

Papers from Yonggang Wen's perspective

Ordered by how strongly the researchers Yonggang Wen 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers