Shijun Wang

with Jin · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shijun Wang trusts overall

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

  1. Jonathan Richard Shewchuk
  2. Olivier Bousquet
  3. Kilian Q. Weinberger
  4. Nicolò Cesa-Bianchi
  5. Josh Tenenbaum
  6. Lawrence K. Saul
  7. Eric P. Xing
  8. Andrew Y. Ng
  9. Jason V. Davis
  10. Geoffrey E. Hinton

Who trusts Shijun Wang overall

  1. Aurélien Bellet
  2. Amaury Habrard
  3. Michaël Perrot
  4. Steven C. H. Hoi
  5. Yong Luo
  6. Wenbin Li
  7. Ji Wan

Papers from Shijun Wang's perspective

Ordered by how strongly the researchers Shijun 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  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