Jie Tan

Molecular Biology · with Greene · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Tan trusts overall

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

  1. Minoru Kanehisa
  2. Pascal Vincent
  3. Stu Daultrey
  4. Yoshua Bengio
  5. Ben C. Stöver
  6. Hugo Larochelle
  7. Susumu Goto
  8. Sneh Lata
  9. Laurent Gautier
  10. Matthew D. Wilkerson

Who trusts Jie Tan overall

  1. Brett K. Beaulieu-Jones
  2. Casey S. Greene
  3. Kumardeep Chaudhary
  4. Saket Navlakha
  5. J. Hammond
  6. Daniele Merico
  7. Deborah A. Hogan

Papers from Jie Tan's perspective

Ordered by how strongly the researchers Jie Tan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers