Michael Ruogu Zhang

Optimization & Training · 2001–2019

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Ruogu Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Boris Polyak
  4. James Martens
  5. Diederik P. Kingma
  6. Kaiming He
  7. Yurii E. Nesterov
  8. Yoshua Bengio
  9. Sepp Hochreiter
  10. Ilya Sutskever

Who trusts Michael Ruogu Zhang overall

  1. Diganta Misra
  2. Huiyu Wang
  3. Christopher Fifty
  4. Tianyi Wei
  5. Yushu Chen
  6. Quang Pham
  7. Giannis Daras
  8. Mohamed Reyad
  9. David Samuel
  10. Nicolas Loizou

Papers from Michael Ruogu Zhang's perspective

Ordered by how strongly the researchers Michael Ruogu Zhang 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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