Qianxiao Li

Optimization & Training · 2015

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Qianxiao Li trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Tom Schaul
  4. Boris Polyak
  5. Diederik P. Kingma
  6. Richard Bellman
  7. Ilya Sutskever
  8. Geoffrey E. Hinton
  9. Ning Qian
  10. Bernt Øksendal

Who trusts Qianxiao Li overall

  1. Grant M. Rotskoff
  2. Jerry Ma
  3. Samuel L. Smith
  4. Stephan Mandt
  5. Wenqing Hu
  6. Eric Vanden-Eijnden
  7. Stanislaw Jastrzebski
  8. Denis Yarats
  9. Matthew D. Hoffman
  10. Erich Elsen

Papers from Qianxiao Li's perspective

Ordered by how strongly the researchers Qianxiao Li 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. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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