James J. Jiang

Artificial Intelligence · 2000–2007

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom James J. Jiang trusts overall

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

  1. Hal Daumé Iii
  2. Shai Ben-David
  3. Rie Kubota Ando
  4. Charles A. Micchelli
  5. Yi Lin
  6. Wenyuan Dai
  7. Kamal Nigam
  8. Ya Xue
  9. Massimiliano Pontil
  10. Tong Zhang

Who trusts James J. Jiang overall

  1. Sergey Ioffe
  2. Judy Hoffman
  3. Elyor Kodirov
  4. Kun Zhang
  5. Christian Szegedy
  6. Stacie C. Petter
  7. Jeff Donahue
  8. Konstantinos Kamnitsas
  9. Tao A. Xiang
  10. William H. DeLone

Papers from James J. Jiang's perspective

Ordered by how strongly the researchers James J. Jiang 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Multitask Learning
  8. ImageNet: A large-scale hierarchical image database
  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