Ning Cheng

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 61 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Cheng trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Aäron van den Oord
  6. Alex Krizhevsky
  7. Kaiming He
  8. Jimmy Ba
  9. Alex Graves
  10. Karen Simonyan

Who trusts Ning Cheng overall

  1. Xu Tan
  2. Tao Qin
  3. Yanli Li
  4. Ulme Wennberg

Papers from Ning Cheng's perspective

Ordered by how strongly the researchers Ning Cheng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers