Wenguang Jin

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenguang Jin trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Alex Krizhevsky
  4. Sergey Ioffe
  5. Kaiming He
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Yann LeCun
  9. Individualized Treat
  10. Nitish Srivastava

Who trusts Wenguang Jin overall

  1. U. Côté-Allard
  2. Dezhen Xiong

Papers from Wenguang Jin's perspective

Ordered by how strongly the researchers Wenguang Jin 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers