Liheng Chen

Artificial Intelligence · with Jiang · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liheng Chen trusts overall

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

  1. Ronald J. Williams
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Richard S. Sutton
  7. Ilya Sutskever
  8. Chin-Yew Lin

Papers from Liheng Chen's perspective

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

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

Their papers