Kaifeng Lyu

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 4 papers; trusts 171 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kaifeng Lyu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Yann LeCun
  8. J. Urgen Schmidhuber
  9. Sergey Ioffe
  10. Ilya Sutskever

Who trusts Kaifeng Lyu overall

  1. Lénaïc Chizat
  2. Luke Metz
  3. Risto Vuorio
  4. Juntang Zhuang
  5. Francis R. Bach
  6. Tianlong Chen
  7. C. Freeman
  8. Colin Wei
  9. Noam Razin
  10. Dong-Yeon Cho

Papers from Kaifeng Lyu's perspective

Ordered by how strongly the researchers Kaifeng Lyu 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers