Xinyan Yan

Artificial Intelligence · with Boots · 2017–2019

A researcher in the Science corpus: 8 papers; trusts 126 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Xinyan Yan trusts overall

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

  1. Richard S. Sutton
  2. Sham M. Kakade
  3. Jan Peters
  4. Geoffrey E. Hinton
  5. Ronald J. Williams
  6. John Schulman
  7. Diederik P. Kingma
  8. Stéphane Ross
  9. Andrew Barto
  10. Yoshua Bengio

Who trusts Xinyan Yan overall

  1. Ching-An Cheng
  2. Ilya Kostrikov
  3. Yunpeng Pan
  4. Jiawei Huang
  5. Lukas Hewing
  6. Sergey Levine
  7. Byron Boots
  8. Denis Yarats
  9. Nan Jiang

Papers from Xinyan Yan's perspective

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

Their papers