Dinghan Shen

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 15 papers; trusts 919 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Dinghan Shen trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Richard Socher
  8. Jimmy Ba
  9. Kaiming He
  10. Alex Graves

Who trusts Dinghan Shen overall

  1. Chunyuan Li
  2. Guoyin Wang
  3. Lawrence Carin
  4. Van-Khanh Tran
  5. Yizhe Zhang
  6. Ricardo Henao
  7. Xinyuan Zhang
  8. Wenlin Wang
  9. Qinliang Su
  10. Xi Ye

Papers from Dinghan Shen's perspective

Ordered by how strongly the researchers Dinghan Shen 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers