Shanchuan Lin

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Shanchuan Lin trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Sergey Ioffe
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. Yann LeCun
  9. Vinod Nair
  10. Ross B. Girshick

Who trusts Shanchuan Lin overall

  1. Tao Yang
  2. Yichun Shi
  3. Peng Wang
  4. Dustin Podell
  5. Ruizhi Shao
  6. Luyu Gao
  7. Zeqian Ju
  8. Andreas Blattmann
  9. Peiran Ren
  10. Kezhen Chen

Papers from Shanchuan Lin's perspective

Ordered by how strongly the researchers Shanchuan Lin 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers