Wei Wang

Computer Vision and Pattern Recognition · with Halgamuge · 2018

A researcher in the Science corpus: 1 paper; trusts 144 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wang trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Christian Szegedy
  6. Sergey Ioffe
  7. Yoshua Bengio
  8. Ian J. Goodfellow
  9. Yann LeCun
  10. L. V. D. van der Maaten

Who trusts Wei Wang overall

  1. Shiyu Chang
  2. Yang Zhao
  3. Jie Gui
  4. Zhangyang Wang
  5. Ping Yu
  6. Zhenan Sun

Papers from Wei Wang's perspective

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

Their papers