Feng Xia

Artificial Intelligence · with Liu · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Xia trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Ilya Sutskever
  7. Kaiming He
  8. Max Welling
  9. Thomas Kipf
  10. Tomas Mikolov

Papers from Feng Xia's perspective

Ordered by how strongly the researchers Feng Xia 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers