Liang Lu

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 9 papers; trusts 284 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Lu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Graves
  4. Jimmy Ba
  5. Ilya Sutskever
  6. Dzmitry Bahdanau
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Oriol Vinyals

Who trusts Liang Lu overall

  1. Takaaki Hori
  2. Jinyu Li
  3. Shinji Watanabe
  4. Hasim Sak
  5. Peidong Wang
  6. Jia Cui
  7. John R. Hershey
  8. Mark Anderson
  9. Dong Yu
  10. Mingkun Huang

Papers from Liang Lu's perspective

Ordered by how strongly the researchers Liang Lu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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