Yi Chang

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 20 papers; trusts 374 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Chang trusts overall

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

  1. Jerome H. Friedman
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Jon M. Kleinberg
  7. C. Burges
  8. Thorsten Joachims
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Yi Chang overall

  1. Pannagadatta K. Shivaswamy
  2. X. Shen
  3. Rashmi Vinayak
  4. Thorsten Joachims
  5. Nicolas Kourtellis
  6. Zhixiang Eddie Xu
  7. Chang Li
  8. David Buffoni
  9. Ruey-Cheng Chen
  10. Chongsheng Zhang

Papers from Yi Chang's perspective

Ordered by how strongly the researchers Yi Chang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers