Shuangzhi Wu

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuangzhi Wu trusts overall

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

  1. Yoshua Bengio
  2. Philipp Koehn
  3. Ilya Sutskever
  4. Matthew D. Zeiler
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Kyunghyun Cho
  8. Xavier Glorot
  9. Dzmitry Bahdanau
  10. Thang Luong

Who trusts Shuangzhi Wu overall

  1. Xinyi Wang
  2. Rotem Dror
  3. Yikang Shen
  4. Linfeng Song
  5. Kaiqiang Song
  6. Hieu Pham

Papers from Shuangzhi Wu's perspective

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

Their papers