Sheng Zha

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 128 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Zha trusts overall

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

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

Who trusts Sheng Zha overall

  1. Xiang Zhou
  2. Joe Stacey
  3. Akari Asai
  4. Yonatan Belinkov
  5. Victor Sanh
  6. Yuxiang Wu
  7. Nafise Sadat Moosavi
  8. Hannaneh Hajishirzi
  9. Xuhui Zhou
  10. Junghyun Min

Papers from Sheng Zha's perspective

Ordered by how strongly the researchers Sheng Zha 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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