Yi Zhou

Optimization & Training · with Dai · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Zhou trusts overall

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

  1. Jérôme Bolte
  2. Guanghui Lan
  3. Yurii E. Nesterov
  4. Hédy Attouch
  5. Dimitri P. Bertsekas
  6. Angelia Nedić
  7. Mu Li
  8. Saeed Ghadimi
  9. John C. Duchi
  10. Alekh Agarwal

Who trusts Yi Zhou overall

  1. Yaochen Hu
  2. Hanlin Tang
  3. Eric P. Xing
  4. Guanghui Lan
  5. Thinh T. Doan
  6. Ce Zhang
  7. Anastasia Koloskova
  8. Filip Hanzely
  9. Qirong Ho
  10. Peng Liu

Papers from Yi Zhou's perspective

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

Their papers