Xinling Yu

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xinling Yu trusts overall

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

  1. Parviz Moin
  2. Maizar Raissi
  3. Xavier Glorot
  4. Yoshua Bengio
  5. Yibo Yang
  6. G. Em Karniadakis
  7. Paris Perdikaris
  8. Diederik P. Kingma

Who trusts Xinling Yu overall

  1. Sifan Wang
  2. Chen-Chun Wu
  3. Haixu Wu
  4. Salvatore Cuomo

Papers from Xinling Yu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Understanding the difficulty of training deep feedforward neural networks
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers