Yining Wang

Artificial Intelligence · with Rudin · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yining Wang trusts overall

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

  1. Cynthia Rudin
  2. J. Paul Brooks
  3. C. Burges
  4. Michael Collins
  5. Kalervo Järvelin
  6. Jun Xu
  7. Thorsten Joachims
  8. St'ephan Cl'emenccon
  9. Robert E. Schapire
  10. Allison Chang

Who trusts Yining Wang overall

  1. Jimmy J. Lin

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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers