Hongzhi Zhang

Computer Vision and Pattern Recognition · with Zhang · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hongzhi Zhang trusts overall

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

  1. Ingrid Daubechies
  2. Kaiming He
  3. Diederik P. Kingma
  4. Sergey Ioffe
  5. Stéphane Mallat
  6. Geoffrey E. Hinton
  7. Chao Dong
  8. Alex Krizhevsky
  9. Andrea Vedaldi
  10. Christian Szegedy

Who trusts Hongzhi Zhang overall

  1. Kai Zhang
  2. Chunwei Tian
  3. Nantheera Anantrasirichai
  4. Jingyun Liang
  5. Zhihao Wang
  6. Yawei Li
  7. Wangmeng Zuo

Papers from Hongzhi Zhang's perspective

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

Their papers