Ji Yang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ji Yang trusts overall

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

  1. Steffen Rendle
  2. Graham Cormode
  3. John C. Duchi

Papers from Ji Yang's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers