Yang Xu

Artificial Intelligence · with Wu · 2009–2016

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Xu trusts overall

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

  1. George A. Miller
  2. Radford M. Neal
  3. Stephen E. Robertson
  4. Chih-Jen Lin
  5. Erez Lieberman Aiden
  6. Zhouchen Lin
  7. Chengxiang Zhai
  8. Guangcan Liu
  9. W. Bruce Croft
  10. Victor Lavrenko

Who trusts Yang Xu overall

  1. Chenyan Xiong
  2. Jamie Callan
  3. William L. Hamilton
  4. Hadas Raviv
  5. Jeffrey Dalton
  6. Navid Rekabsaz
  7. Jure Leskovec
  8. Gong Cheng
  9. Degang Wang
  10. Amit Singh

Papers from Yang Xu's perspective

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

Their papers