Yixin Chen

Computer Vision and Pattern Recognition · Journal of machine learning research · 2002–2005

A researcher in the Science corpus: 3 papers; trusts 148 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Yixin Chen trusts overall

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

  1. James Ze Wang
  2. Jia Li
  3. Jianbo Shi
  4. Kobus Barnard
  5. Ingrid Daubechies
  6. D.A. Forsyth
  7. Theo Gevers
  8. Jitendra Malik
  9. Sally A. Goldman
  10. Chad Carson

Who trusts Yixin Chen overall

  1. Zhi-Hua Zhou
  2. Ritendra Datta
  3. James Ze Wang
  4. Min-Ling Zhang
  5. Jaume Amores
  6. Jia Li
  7. James R. Foulds
  8. Yixin Chen
  9. Dhiraj Joshi
  10. James T. Kwok

Papers from Yixin Chen's perspective

Ordered by how strongly the researchers Yixin Chen 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. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  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. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers