Yuhuang Hu

Electrical and Electronic Engineering · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuhuang Hu trusts overall

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

  1. Henri Rebecq
  2. Alex Krizhevsky
  3. Li Fei-Fei
  4. Ilya Loshchilov
  5. Joseph Redmon
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Garrick Orchard
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Yuhuang Hu overall

  1. Wei Fang
  2. Kaushik Roy

Papers from Yuhuang Hu's perspective

Ordered by how strongly the researchers Yuhuang Hu 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 Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers