Haiyun Peng

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 74 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Haiyun Peng trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Erik Cambria
  5. Yoon Kim
  6. Ilya Sutskever
  7. Ronan Collobert
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Richard Socher

Who trusts Haiyun Peng overall

  1. Erik Cambria
  2. Tom Young
  3. Dang Lien Minh
  4. Wenxuan Zhang
  5. Lu Xu
  6. Saif M. Mohammad
  7. Devamanyu Hazarika
  8. Chi Sun
  9. Greg Van Houdt
  10. Soujanya Poria

Papers from Haiyun Peng's perspective

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

Their papers