Xiaoling Zhang

Computer Vision and Pattern Recognition · with Shi · 2010–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoling Zhang trusts overall

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

  1. Richard Baraniuk
  2. E.J. Candes
  3. Ross B. Girshick
  4. Matthew A. Herman
  5. Shaoqing Ren
  6. Kaiming He
  7. Justin K. Romberg

Papers from Xiaoling Zhang's perspective

Ordered by how strongly the researchers Xiaoling Zhang 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers