Yang Zhan

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Zhan trusts

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

  1. Max Welling (in Artificial Intelligence)
  2. Thomas Kipf (in Artificial Intelligence)
  3. Xavier Glorot (in Optimization & Training)

Papers from Yang Zhan's perspective

Ordered by how strongly the researchers Yang Zhan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Understanding the difficulty of training deep feedforward neural networks
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Translating Embeddings for Modeling Multi-relational Data
  8. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers