Guoxiang Zhou

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Guoxiang Zhou trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. Wojciech Zaremba
  8. Alex Krizhevsky
  9. Quoc V. Le
  10. Yann LeCun

Who trusts Guoxiang Zhou overall

  1. Mirco Ravanelli
  2. Alexander Ororbia
  3. Jasmine Collins
  4. Edward De Brouwer
  5. Yuqiao Liu
  6. Yoshua Bengio
  7. Philemon Brakel
  8. Dmitriy Serdyuk
  9. Jascha Narain Sohl-Dickstein
  10. A. Elsaid

Papers from Guoxiang Zhou's perspective

Ordered by how strongly the researchers Guoxiang Zhou 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers