Sihong Xie

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Sihong Xie trusts overall

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

  1. Jon M. Kleinberg
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Hugo Larochelle
  5. Sepp Hochreiter
  6. J. Urgen Schmidhuber
  7. Diederik P. Kingma
  8. Mike Schuster
  9. Alex Krizhevsky
  10. Nitin Jindal

Who trusts Sihong Xie overall

  1. Leman Akoglu
  2. Srijan Kumar
  3. Arjun Mukherjee
  4. Shebuti Rayana
  5. Zixuan Ke
  6. B. Liu
  7. Geli Fei
  8. Hu Xu
  9. Neil Shah
  10. Hanghang Tong

Papers from Sihong Xie's perspective

Ordered by how strongly the researchers Sihong Xie 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. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers