Xiao Lin

Optimization & Training · with Zhang · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Lin trusts overall

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

  1. Yurii E. Nesterov
  2. Tong Zhang
  3. Shai Shalev-Shwartz
  4. Nicolas Le Roux
  5. Chih-Jen Lin
  6. Francis R. Bach
  7. Mark W. Schmidt
  8. Peter Richtárik
  9. Lin Xiao
  10. Stephen P. Boyd

Who trusts Xiao Lin overall

  1. Zeyuan Allen-Zhu
  2. Jakub Konecný
  3. Dong Yin
  4. Lihua Lei
  5. Dominik Csiba
  6. Peter Richtárik
  7. Ching-pei Lee
  8. Xiang Li
  9. Michael I. Jordan
  10. Shusen Wang

Papers from Xiao Lin's perspective

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

Their papers