Sheng Zhang

Artificial Intelligence · Briefings Bioinform. · 2016–2024

A researcher in the Science corpus: 9 papers; trusts 143 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Christopher D. Manning
  6. Alex Krizhevsky
  7. Sepp Hochreiter
  8. Kaiming He
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Sheng Zhang overall

  1. Adam Poliak
  2. Shane Storks
  3. Nicholas Lourie
  4. Timo Schick
  5. Daniel Khashabi
  6. Barret Zoph
  7. Jeff Da
  8. Zhuang Li
  9. Eric Wallace
  10. Alex Wang

Papers from Sheng Zhang's perspective

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

Their papers