Shitong Luo

Molecular Biology · 2021–2022

A researcher in the Science corpus: 8 papers; trusts 326 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Shitong Luo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Max Welling
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. Pascal Vincent
  9. Kaiming He
  10. Radford M. Neal

Who trusts Shitong Luo overall

  1. Emiel Hoogeboom
  2. Arash Vahdat
  3. Minkai Xu
  4. Jiaqi Guan
  5. Heewoo Jun
  6. Yuanqi Du
  7. Victor Garcia Satorras
  8. Chence Shi
  9. Ruihan Yang
  10. Wengong Jin

Papers from Shitong Luo's perspective

Ordered by how strongly the researchers Shitong Luo 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. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers