Ziyu Guan

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ziyu Guan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Graves
  5. Sepp Hochreiter
  6. Kyunghyun Cho
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. W. Bruce Croft

Papers from Ziyu Guan's perspective

Ordered by how strongly the researchers Ziyu Guan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers