Lin Lin

Atomic and Molecular Physics, and Optics · with Akhtar · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Lin trusts overall

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

  1. Y. Saad
  2. David R. Lide
  3. Maizar Raissi
  4. Haim Avron
  5. Timothy Dozat
  6. Lloyd N. Trefethen
  7. Stéphane Mallat
  8. Kaiming He
  9. Geoffrey E. Hinton
  10. Sivan Toledo

Who trusts Lin Lin overall

  1. Vardan Papyan
  2. Shashanka Ubaru
  3. Zi-Mei Yao
  4. Zong-Yi Li
  5. Nikola B. Kovachki
  6. Jie Chen
  7. A. Gholami

Papers from Lin Lin's perspective

Ordered by how strongly the researchers Lin Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Et al
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers