Ming Lei

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 79 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Lei trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Aäron van den Oord
  8. J. Urgen Schmidhuber
  9. Ilya Sutskever
  10. Oriol Vinyals

Who trusts Ming Lei overall

  1. Xu Tan
  2. Tao Qin
  3. Zhaoxi Mu
  4. Yi Ren
  5. Zhao You
  6. Haoneng Luo
  7. Shiliang Zhang
  8. Hyung-Seok Oh

Papers from Ming Lei's perspective

Ordered by how strongly the researchers Ming Lei 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers