Liang Chen

Artificial Intelligence · with Liu · 2021–2024

A researcher in the Science corpus: 5 papers; trusts 95 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Chen trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Ashish Vaswani
  8. Chin-Yew Lin
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Liang Chen overall

  1. Peiyuan Zhang
  2. Mingqi Gao
  3. Peiyi Wang

Papers from Liang Chen's perspective

Ordered by how strongly the researchers Liang 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers