Tianyi Li

Computer Vision and Pattern Recognition · with Wang · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyi Li trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Xavier Glorot
  4. Chih-Jen Lin
  5. Ren Yang
  6. Yoshua Bengio
  7. Geoffrey E. Hinton

Papers from Tianyi Li's perspective

Ordered by how strongly the researchers Tianyi 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. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers