Zhicong Huang

Artificial Intelligence · with Ding · 2017–2022

A researcher in the Science corpus: 6 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhicong Huang trusts overall

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

  1. Craig Gentry
  2. Zvika Brakerski
  3. Yehuda Lindell
  4. Shai Halevi
  5. Oded Goldreich
  6. Alex Krizhevsky
  7. Hao Chen
  8. Benny Pinkas
  9. Nigel P. Smart
  10. Vinod Vaikuntanathan

Who trusts Zhicong Huang overall

  1. Tancrède Lepoint

Papers from Zhicong Huang's perspective

Ordered by how strongly the researchers Zhicong 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. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Fully homomorphic encryption using ideal lattices
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers