Wenya Wang

Artificial Intelligence · with Dahlmeier · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Wenya Wang trusts overall

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

  1. Yoshua Bengio
  2. Richard Socher
  3. Minqing Hu
  4. Tomas Mikolov
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Sepp Hochreiter
  8. Alex Graves
  9. Jason Aaron Edward Weston
  10. Diederik P. Kingma

Who trusts Wenya Wang overall

  1. Hu Xu
  2. B. Liu
  3. H. H. Do
  4. Ruidan He
  5. Lei Shu
  6. Yan Wang
  7. Philip S. Yu
  8. Dichao Hu
  9. Daniel Dahlmeier
  10. P. Prasad

Papers from Wenya Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers