Tingyao Wu

Artificial Intelligence · 2003

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tingyao Wu trusts overall

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

  1. Trevor J. Hastie
  2. J. Platt
  3. Yann LeCun
  4. Bernhard E. Boser
  5. Erin L. Allwein
  6. Donald Michie
  7. Robert Tibshirani
  8. L. Eon Bottou
  9. Leo Breiman
  10. Robert E. Schapire

Who trusts Tingyao Wu overall

  1. Paulo Cortez
  2. Jiong Zhang
  3. Andreas Richtsfeld
  4. Dolores Romero Morales
  5. Xin Geng
  6. Scott Satkin
  7. Wei Chu
  8. H. Sosik
  9. Michael S. Ryoo
  10. Po-Whei Huang

Papers from Tingyao Wu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers