Pengyi Yang

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pengyi Yang trusts overall

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

  1. Leo Breiman
  2. Thomas G. Dietterich
  3. David Hilton Wolpert
  4. Ludmila I. Kuncheva
  5. Heather J. Cordell
  6. Yoav Freund
  7. Yvan Saeys
  8. João Gama
  9. R. Aebersold
  10. Alfonso Valencia

Who trusts Pengyi Yang overall

  1. Ye Ren
  2. Jehad Ali
  3. Hodjat Shirmard
  4. Marinka Zitnik
  5. Le Zhang
  6. Rehanullah Khan
  7. Ehsan Farahbakhsh
  8. Francis Nguyen
  9. Ponnuthurai Nagaratnam Suganthan

Papers from Pengyi Yang's perspective

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

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

Their papers