Peng Li

Artificial Intelligence · with Jiang · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Li trusts overall

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

  1. Zhi-Hua Zhou
  2. Daojian Zeng
  3. Sebastian Riedel
  4. Geoffrey E. Hinton
  5. Tomas Mikolov
  6. Ilya Sutskever
  7. Thien Huu Nguyen
  8. Min-Ling Zhang
  9. Nitish Srivastava

Papers from Peng Li's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers