Y. Li

Artificial Intelligence · ACM Symposium on User Interface Software and Technology · 2013–2022

A researcher in the Science corpus: 12 papers; trusts 117 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Li trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Laurent Dinh
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Tomas Mikolov
  8. Yann LeCun
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Y. Li overall

  1. Johannes Welbl
  2. Nan Rosemary Ke
  3. Nelson F. Liu
  4. Xiang Li
  5. Matt Gardner
  6. Olexa Bilaniuk

Papers from Y. Li's perspective

Ordered by how strongly the researchers Y. Li 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers