Lionel Ming-shuan Ni

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 16 papers; trusts 783 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Lionel Ming-shuan Ni trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ross B. Girshick
  8. Ruslan Salakhutdinov
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Lionel Ming-shuan Ni overall

  1. Yu Zhang
  2. Wen Wang
  3. Yaxiong Xie
  4. Qiang Yang
  5. Huaxiu Yao
  6. Alex X. Liu
  7. Aiqing Huang
  8. Bernard Fortz
  9. Kamran Ali
  10. Feng Li

Papers from Lionel Ming-shuan Ni's perspective

Ordered by how strongly the researchers Lionel Ming-shuan Ni 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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