Shuguang Han

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuguang Han trusts overall

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

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Kyunghyun Cho
  7. Dzmitry Bahdanau
  8. Ilya Sutskever
  9. Oriol Vinyals
  10. Anette Hulth

Papers from Shuguang Han's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers