Dingkun Long

Artificial Intelligence · 2023–2026

A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dingkun Long trusts overall

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

  1. Geoffrey E. Hinton
  2. Noam Shazeer
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Jacob Devlin
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Richard Socher
  9. Alec Radford
  10. Kaiming He

Who trusts Dingkun Long overall

  1. Hong-Liu Cao
  2. Bowen Zhang
  3. Chunping Li

Papers from Dingkun Long's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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