Anyong Qin

Media Technology · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anyong Qin trusts overall

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

  1. Gustau Camps-Valls
  2. Farid Melgani
  3. Thomas Kipf
  4. Mikhail Belkin
  5. Michaël Defferrard
  6. Lorenzo Bruzzone
  7. Jun Yu Li
  8. David K. Hammond
  9. Y. Qian
  10. Pierre Vandergheynst

Who trusts Anyong Qin overall

  1. Qichao Liu
  2. Yapeng Li
  3. Sheng Wan
  4. Muhammad Ahmad

Papers from Anyong Qin's perspective

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

Their papers