Ning Ding

Artificial Intelligence · arXiv.org · 2021–2025

A researcher in the Science corpus: 17 papers; trusts 340 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Ding trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Alex Graves
  9. Alec Radford
  10. Oriol Vinyals

Who trusts Ning Ding overall

  1. Xu Han
  2. Shengding Hu
  3. Xuandong Zhao
  4. Yulin Chen
  5. Zhiyuan Liu
  6. Xiang Chen
  7. Zixiang Chen
  8. Ming Li
  9. Yuxian Gu
  10. Yujia Qin

Papers from Ning Ding's perspective

Ordered by how strongly the researchers Ning 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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers