Jie Chen

Artificial Intelligence · with Domeniconi · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Chen trusts overall

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

  1. Gene H. Golub
  2. Radford M. Neal
  3. David John Cameron MacKay
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Michael F. Hutchinson
  8. Yoshua Bengio
  9. Nicholas John Higham
  10. S. Brandt

Who trusts Jie Chen overall

  1. Zezhi Shao
  2. Insu Han
  3. Derek Onken
  4. Zi-Mei Yao
  5. Vladimir Braverman
  6. Jacob V. Gardner
  7. Kun Dong
  8. Guangyin Jin

Papers from Jie Chen's perspective

Ordered by how strongly the researchers Jie 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers