Liang Ding

Artificial Intelligence · Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Ding trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Jacob Devlin
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Yann LeCun
  10. Yinhan Liu

Who trusts Liang Ding overall

  1. Konstantinos I. Roumeliotis
  2. Yiheng Liu

Papers from Liang Ding's perspective

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

Their papers