Yinghao Liao

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 64 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yinghao Liao trusts overall

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

  1. Kaiming He
  2. Mohinder Malhotra
  3. Stanley J. Osher
  4. Alex Krizhevsky
  5. Carlo Tomasi
  6. Tom Goldstein
  7. Geoffrey E. Hinton
  8. Ron Kimmel
  9. Raanan Fattal
  10. A. Bovik

Who trusts Yinghao Liao overall

  1. Wenhan Yang
  2. Chongyi Li
  3. Mading Li
  4. He Zhang
  5. Jiaying Liu
  6. Shijie Hao
  7. Chris H. Bahnsen
  8. Jun Xu

Papers from Yinghao Liao's perspective

Ordered by how strongly the researchers Yinghao Liao 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  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