Zhongyun Hua

Computer Vision and Pattern Recognition · 2015–2024

A researcher in the Science corpus: 7 papers; trusts 102 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zhongyun Hua trusts overall

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

  1. Yicong Zhou
  2. Yingqian Zhang
  3. Yue Wu
  4. Xing-yuan Wang
  5. Claude E. Shannon
  6. Ian J. Goodfellow
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Guanrong Chen
  10. Shihua Chen

Who trusts Zhongyun Hua overall

  1. Yicong Zhou
  2. Xing-yuan Wang
  3. Fan Jin
  4. Xiu-li Chai

Papers from Zhongyun Hua's perspective

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

Their papers