Yu Wu

Artificial Intelligence · arXiv.org · 2016–2026

A researcher in the Science corpus: 34 papers; trusts 490 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Wu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Graves
  5. Ilya Sutskever
  6. Oriol Vinyals
  7. Alex Krizhevsky
  8. Kaiming He
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Yu Wu overall

  1. Samuel Humeau
  2. Sanyuan Chen
  3. Minlie Huang
  4. Jinyu Li
  5. Kurt Shuster
  6. Zhuosheng Zhang
  7. Leyang Cui
  8. Liu Yang
  9. Qian Chen
  10. Jian-xiong Dong

Papers from Yu Wu's perspective

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

Their papers