Zengfeng Huang

Artificial Intelligence · with He · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Zengfeng Huang trusts overall

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

  1. Johannes Klicpera
  2. Thomas Kipf
  3. Matthias Fey

Who trusts Zengfeng Huang overall

  1. Xiyuan Wang

Papers from Zengfeng Huang's perspective

Ordered by how strongly the researchers Zengfeng 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers