Ping Chen

Artificial Intelligence · with Wang · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ping Chen trusts overall

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

  1. Chin-Yew Lin
  2. Quoc V. Le
  3. Ani Nenkova
  4. Tomas Mikolov
  5. Geoffrey E. Hinton
  6. Rebecca J. Passonneau
  7. Yoshua Bengio
  8. Radford M. Neal
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Ping Chen overall

  1. Thomas Scialom
  2. Rowan Zellers
  3. Esin Durmus
  4. Sylvain Lamprier
  5. Ari Holtzman
  6. Paul-Alexis Dray
  7. Elizabeth Clark
  8. Benjamin Piwowarski
  9. He He
  10. Patrick Gallinari

Papers from Ping Chen's perspective

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

Their papers