Tian Wang

Industrial and Manufacturing Engineering · with Chen · 2017

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

Subfields

Whom Tian Wang trusts overall

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

  1. Fei Tao
  2. Alex Krizhevsky
  3. Sergey Ioffe
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Nitish Srivastava
  7. Daniel Weimer
  8. Christian Szegedy
  9. Joseph Redmon
  10. Kaiming He

Who trusts Tian Wang overall

  1. Xian Tao

Papers from Tian Wang's perspective

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

Their papers