Chen Liang

Artificial Intelligence · with Le · 2016–2023

A researcher in the Science corpus: 10 papers; trusts 696 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Liang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Ronald J. Williams
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Quoc V. Le
  8. Alex Graves
  9. Kaiming He
  10. Oriol Vinyals

Who trusts Chen Liang overall

  1. Wenhu Chen
  2. Yining Hong
  3. Quoc V. Le
  4. Sewon Min
  5. Rishabh Agarwal
  6. Hongyu Ren
  7. Xinyun Chen
  8. Jonathan Herzig
  9. Qing Li
  10. Aishwarya Kamath

Papers from Chen Liang's perspective

Ordered by how strongly the researchers Chen Liang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers