Sheng Wang

Artificial Intelligence · with Huang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Wang trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Dzmitry Bahdanau
  6. Alec Radford
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Sheng Wang overall

  1. Yuanqi Du
  2. Yu Rong
  3. Gengmo Zhou
  4. Guohao Li
  5. Johannes Klicpera
  6. Dongsheng Luo
  7. Yuan Zhuang
  8. Tianfan Fu
  9. Ken Ziyu Liu
  10. Frank Emmert-Streib

Papers from Sheng Wang's perspective

Ordered by how strongly the researchers Sheng Wang 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. 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