Ching-Hua Chuan

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ching-Hua Chuan trusts overall

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

  1. Philipp Koehn
  2. John H. Holland
  3. Alex M. Andrew
  4. Sepp Hochreiter
  5. Jose D. Fernández
  6. David E. Rumelhart
  7. J. Urgen Schmidhuber
  8. David Huron
  9. Yoshua Bengio
  10. Timothy R. Lezon

Who trusts Ching-Hua Chuan overall

  1. Justin Salamon
  2. Emilia G'omez
  3. Philip N. Johnson-Laird
  4. Albert S. Bregman
  5. David Huron
  6. Joseph N. Straus
  7. Cheng-Zhi Anna Huang

Papers from Ching-Hua Chuan's perspective

Ordered by how strongly the researchers Ching-Hua Chuan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Learning internal representations by error propagation
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Learning long-term dependencies with gradient descent is difficult

Their papers