Wei Wang

Artificial Intelligence · with Hughes · 2006–2018

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wang trusts overall

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

  1. Philipp Koehn
  2. Matt Post
  3. Burr Settles
  4. Franz Joseph Och
  5. David Chiang
  6. Yoshua Bengio
  7. Robert C. Moore
  8. Michael Collins
  9. Guillaume Lample
  10. Ashish Vaswani

Who trusts Wei Wang overall

  1. David Chiang
  2. Danielle Saunders
  3. Philipp Koehn
  4. Dana Ruiter
  5. Nadir Durrani
  6. Yu Wang
  7. Fangxiaoyu Feng
  8. Bill Byrne
  9. Huda Khayrallah
  10. Xuan Zhang

Papers from Wei Wang's perspective

Ordered by how strongly the researchers Wei 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers