Guanghua Xiao

Molecular Biology · 2007–2020

A researcher in the Science corpus: 9 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guanghua Xiao trusts overall

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

  1. Ross B. Girshick
  2. Geoffrey E. Hinton
  3. L. Eon Bottou
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yurii E. Nesterov
  7. Yoshua Bengio
  8. Jimmy Ba

Papers from Guanghua Xiao's perspective

Ordered by how strongly the researchers Guanghua Xiao 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers