Hang Yan

Artificial Intelligence · Annual Meeting of the Association for Computational Linguistics · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 87 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hang Yan trusts overall

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

  1. Oriol Vinyals
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. John D. Lafferty
  6. Diederik P. Kingma
  7. Ashish Vaswani
  8. Alex Krizhevsky
  9. Tomas Mikolov
  10. Alex Graves

Who trusts Hang Yan overall

  1. Jingye Li
  2. Tianyang Lin
  3. Chuhan Wu
  4. Wenxuan Zhang
  5. Xiaonan Li
  6. Yuyang Nie
  7. Xipeng Qiu
  8. Yaojie Lu
  9. Shirui Pan
  10. Tao Gui

Papers from Hang Yan's perspective

Ordered by how strongly the researchers Hang Yan 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. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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