Jia-Ren Chang

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 504 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

Whom Jia-Ren Chang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Jia Deng
  9. Diederik P. Kingma
  10. X. Zhang

Who trusts Jia-Ren Chang overall

  1. Haofei Xu
  2. Gangwei Xu
  3. Zhuoran Shen
  4. Yuchao Dai
  5. Waseem Rawat
  6. Saurabh Saxena
  7. Jamie Watson
  8. Yan Wang
  9. Xinjing Cheng
  10. Lahav Lipson

Papers from Jia-Ren Chang's perspective

Ordered by how strongly the researchers Jia-Ren Chang 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers