Mingyue Shang

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingyue Shang trusts overall

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

  1. Sepp Hochreiter
  2. Yoshua Bengio
  3. Dzmitry Bahdanau
  4. Tomas Mikolov
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. J. Urgen Schmidhuber
  8. Christopher D. Manning
  9. Robin Jia
  10. Lei Wang

Who trusts Mingyue Shang overall

  1. Qinzhuo Wu
  2. Qi Zhang

Papers from Mingyue Shang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers