Peng Chen

Artificial Intelligence · with Bing · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Chen trusts overall

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

  1. Richard Socher
  2. Duyu Tang
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Dzmitry Bahdanau
  6. Jeffrey Pennington
  7. Geoffrey E. Hinton
  8. Kyunghyun Cho
  9. Alex Graves
  10. Christopher D. Manning

Who trusts Peng Chen overall

  1. Xin Li
  2. Zhuang Chen
  3. Wei Xue
  4. Chen Zhang
  5. Feifan Fan
  6. Guangyi Lv
  7. H. H. Do
  8. Kai Sun
  9. Shuai Wang
  10. Lidong Bing

Papers from Peng Chen's perspective

Ordered by how strongly the researchers Peng 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. 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