Jizhou Huang

Knowledge and Information Systems · 2021

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jizhou Huang trusts overall

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

  1. Chaoyang He
  2. Ian J. Goodfellow
  3. Sai Praneeth Karimireddy
  4. Alex Krizhevsky
  5. Mehryar Mohri
  6. Geoffrey E. Hinton
  7. Jianshu Chen
  8. Yoshua Bengio
  9. Mikhail Yurochkin
  10. Yann LeCun

Papers from Jizhou Huang's perspective

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

Their papers