Yao Wu

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Yao Wu trusts overall

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

  1. Yehuda Koren
  2. David M. Blei
  3. Ruslan Salakhutdinov
  4. Steffen Rendle
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Julian McAuley
  8. Michael I. Jordan
  9. Andriy Mnih
  10. Radford M. Neal

Who trusts Yao Wu overall

  1. Yongfeng Zhang
  2. Xiangnan He
  3. Xu Chen
  4. Zhiyong Cheng
  5. Charu C. Aggarwal
  6. Vito Bellini
  7. Aminu Da’u
  8. Xiting Wang
  9. Jiaxi Tang
  10. P. Li

Papers from Yao Wu's perspective

Ordered by how strongly the researchers Yao 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (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