Yining Wang

Artificial Intelligence · with Singh · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yining Wang trusts overall

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

  1. Ronen Basri
  2. E.J. Candes
  3. Cynthia Dwork
  4. Shike Mei
  5. Bo Li
  6. Xiaojin Zhu
  7. David W. Jacobs
  8. Frank McSherry
  9. Daniel Lowd
  10. Kobbi Nissim

Who trusts Yining Wang overall

  1. Pang Wei Koh
  2. Mónica Ribero
  3. James R. Foulds
  4. Maria-Florina Balcan
  5. Jacob Steinhardt
  6. Percy Liang
  7. Binghui Wang
  8. Joseph Geumlek
  9. Jette Henderson
  10. Neil Zhenqiang Gong

Papers from Yining Wang's perspective

Ordered by how strongly the researchers Yining Wang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers