Ting Wang

Artificial Intelligence · with Wang · 2014

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ting Wang trusts overall

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

  1. C. Chatfield
  2. Julian McAuley
  3. Christian P. Robert
  4. Jacob Eisenstein
  5. Yehuda Koren
  6. Jure Leskovec
  7. Wayne A. Fuller
  8. George Casella
  9. Jonathan W. Pillow
  10. Matthew J. Salganik

Who trusts Ting Wang overall

  1. Ricardo A. Baeza-Yates
  2. Tad Hogg

Papers from Ting Wang's perspective

Ordered by how strongly the researchers Ting 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers