Sheng Wen

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Wen trusts overall

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

  1. Tomas Mikolov
  2. Patrice Godefroid
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. James Newsome
  9. Quoc V. Le
  10. Alex Graves

Who trusts Sheng Wen overall

  1. Tom H. Luan
  2. Minhaj Ahmad Khan
  3. Shanhe Yi
  4. Charith Perera
  5. Shuo Wang
  6. Arsalan Mosenia
  7. Yongrui Qin

Papers from Sheng Wen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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