Rong Zhu

Artificial Intelligence · with Zhou · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rong Zhu trusts overall

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

  1. Diederik P. Kingma
  2. Max Welling
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Thomas Kipf
  6. Yann LeCun
  7. Aditya Grover
  8. Peng Cui
  9. Yuxiao Dong
  10. Alex Krizhevsky

Who trusts Rong Zhu overall

  1. Sabeen Ahmed
  2. Mingyu Yan
  3. Wencong Xiao
  4. Chen Gao

Papers from Rong Zhu's perspective

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

Their papers