Si-Zhao Joe Qin

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Si-Zhao Joe Qin trusts overall

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

  1. S. Qin
  2. Erkki Oja
  3. Yoshua Bengio
  4. Geoffrey E. Hinton

Papers from Si-Zhao Joe Qin's perspective

Ordered by how strongly the researchers Si-Zhao Joe Qin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet: A large-scale hierarchical image database

Their papers