Xingyu Liao

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 204 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Xingyu Liao trusts overall

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

  1. Kaiming He
  2. Liang Zheng
  3. Christian Szegedy
  4. Sergey Ioffe
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. X. Zhang
  8. Ross B. Girshick
  9. Shaoqing Ren
  10. Zhun Zhong

Who trusts Xingyu Liao overall

  1. Nir Aharon
  2. Xinlong Wang
  3. Yixiao Ge
  4. Guan'an Wang

Papers from Xingyu Liao's perspective

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

Their papers