Xianbin Wang

Computer Networks and Communications · Proceedings of the IEEE · 2013–2018

A researcher in the Science corpus: 7 papers; trusts 61 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Xianbin Wang trusts overall

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

  1. Paul J. Werbos
  2. Yoshua Bengio
  3. Richard S. Sutton
  4. M. Mohammadi
  5. Yann LeCun
  6. Radford M. Neal
  7. Geoffrey E. Hinton
  8. Christopher J. C. H. Watkins
  9. Diederik P. Kingma
  10. Andrew Barto

Who trusts Xianbin Wang overall

  1. Oyeniyi Akeem Alimi
  2. Fengxian Guo
  3. Yulong Zou

Papers from Xianbin Wang's perspective

Ordered by how strongly the researchers Xianbin Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers