Ching-Yao Chuang

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 376 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ching-Yao Chuang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Ruslan Salakhutdinov

Who trusts Ching-Yao Chuang overall

  1. William Falcon
  2. Joshua Robinson
  3. Amrita Bhattacharjee
  4. Zhou Zhao
  5. Ananya Harsh Jha
  6. John X. Morris
  7. Thao Minh Le
  8. Lirong Wu
  9. Teddy Koker
  10. Dejing Xu

Papers from Ching-Yao Chuang's perspective

Ordered by how strongly the researchers Ching-Yao Chuang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers