Shaoduo Gan

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shaoduo Gan trusts overall

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

  1. L. Eon Bottou
  2. Kaiming He
  3. Xiangru Lian
  4. Guanghui Lan
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Francis R. Bach
  8. Frank Torsten Bernd Seide
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Shaoduo Gan overall

  1. Hanlin Tang
  2. Anastasia Koloskova
  3. Chaoyang He
  4. Navjot Singh
  5. Qinyi Luo
  6. Zhenheng Tang
  7. Sebastian U. Stich
  8. Farzin Haddadpour
  9. Xiang Li
  10. Yuanming Shi

Papers from Shaoduo Gan's perspective

Ordered by how strongly the researchers Shaoduo Gan 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers