Liang Xiong

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 6 papers; trusts 213 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Xiong trusts overall

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

  1. David G. Lowe
  2. Thomas Hofmann
  3. Ruslan Salakhutdinov
  4. Li Fei-Fei
  5. Barnab'as P'oczos
  6. Manqi Zhao
  7. Geoffrey E. Hinton
  8. Michael I. Jordan
  9. David M. Blei
  10. Tom Minka

Who trusts Liang Xiong overall

  1. Krikamol Muandet
  2. Jorge Guevara
  3. Steffen Rendle
  4. Barnab'as P'oczos
  5. Bernhard Schölkopf
  6. Stéphane Canu
  7. Yue Shi
  8. Junier B. Oliva
  9. Roberto Hirata Jr.
  10. Lijun Sun

Papers from Liang Xiong's perspective

Ordered by how strongly the researchers Liang Xiong 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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