Ming Y. Lu

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 12 papers; trusts 58 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Y. Lu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Maximilian Ilse
  7. Kaiming He
  8. Max Welling
  9. Ilya Sutskever
  10. Koby Crammer

Who trusts Ming Y. Lu overall

  1. Richard J. Chen
  2. Artem Shmatko
  3. Drew F. K. Williamson
  4. Fanjie Kong
  5. Guillaume Jaume
  6. N. Ghaffari Laleh
  7. Tiffany Y. Chen
  8. Kyle Swanson
  9. Sören Richard Stahlschmidt
  10. Zhucheng Shao

Papers from Ming Y. Lu's perspective

Ordered by how strongly the researchers Ming Y. Lu 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers