Ying Tan

Artificial Intelligence · with Deng · 2009–2018

A researcher in the Science corpus: 8 papers; trusts 209 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Tan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Nicolas Papernot
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Ian J. Goodfellow
  7. Yann LeCun
  8. Christian Szegedy
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Ying Tan overall

  1. Kashif Hussain
  2. Stephen Bassi Joseph
  3. Shangce Gao
  4. Zilong Lin
  5. Nektaria Kaloudi
  6. Levent Bayindir
  7. Yujun Zheng
  8. A. Serban
  9. Omer Berat Sezer
  10. M. N. Mohd Salleh

Papers from Ying Tan's perspective

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

Their papers