Ying Zhang

Computer Vision and Pattern Recognition · Proceedings of the VLDB Endowment · 2007–2016

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Zhang trusts overall

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

  1. Xifeng Yan
  2. Jiawei Han
  3. Huahai He
  4. Leonid Boytsov
  5. Chanop Silpa-Anan
  6. Philip S. Yu
  7. Fabien André
  8. James Cheng
  9. Mayur Datar

Who trusts Ying Zhang overall

  1. Wook-Shin Han
  2. Jinsoo Lee
  3. Wayne Xin Zhao

Papers from Ying Zhang's perspective

Ordered by how strongly the researchers Ying 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. Product Quantization for Nearest Neighbor Search
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers