Xinru Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xinru Wang trusts overall

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

  1. Zachary Chase Lipton
  2. Tim Miller
  3. Geoff Cumming
  4. Pierre Dragicevic
  5. Finale Doshi-Velez
  6. Been Kim
  7. Scott M. Lundberg
  8. Yunfeng Zhang
  9. R. Caruana
  10. Ben Green

Who trusts Xinru Wang overall

  1. Vivian Lai
  2. Q. Liao
  3. Chacha Chen
  4. Han Liu

Papers from Xinru Wang's perspective

Ordered by how strongly the researchers Xinru Wang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers