Gang Zhou

Electrical and Electronic Engineering · ACM Computing Surveys · 2010–2022

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Zhou trusts overall

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

  1. Fadel M. Adib
  2. Wen Wang
  3. Karen Simonyan
  4. Chenshu Wu
  5. Dina Katabi
  6. Xuefeng Liu
  7. Oriol Vinyals
  8. Geoffrey E. Hinton
  9. Yaroslav Ganin
  10. Alex X. Liu

Papers from Gang Zhou's perspective

Ordered by how strongly the researchers Gang 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. 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers