Zhongzhan Huang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 696 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Zhongzhan Huang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Sergey Ioffe
  7. Christian Szegedy
  8. X. Zhang
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Zhongzhan Huang overall

  1. Senwei Liang
  2. Liyuan Wang
  3. Wei He
  4. Mingfu Liang
  5. Ming Liang
  6. Haizhao Yang
  7. Xingxing Zhang

Papers from Zhongzhan Huang's perspective

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

Their papers