Yihua Chen

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Yihua Chen trusts overall

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

  1. David G. Lowe
  2. Eric R. Ziegel
  3. Christopher K. I. Williams
  4. Trevor J. Hastie
  5. David John Cameron MacKay
  6. Lawrence R. Rabiner
  7. Robert Tibshirani
  8. Raymond W. Yeung
  9. Hui Zou
  10. Temple F. Smith

Who trusts Yihua Chen overall

  1. Sophie Ahrens
  2. Ayse Erkan
  3. Andrew Béla Frigyik
  4. Sergey Feldman
  5. Mehrtash Harandi
  6. Gal Chechik
  7. Paolo Russu
  8. Gee-Sern Jison Hsu
  9. Maya R. Gupta
  10. Berrak Sisman

Papers from Yihua Chen's perspective

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

Their papers