Lu Xu

Artificial Intelligence · with Bing · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lu Xu trusts overall

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

  1. Maria Pontiki
  2. Diederik P. Kingma
  3. Makoto Miwa
  4. Philipp Koehn
  5. Sepp Hochreiter
  6. Geoffrey E. Hinton
  7. Jeffrey Pennington
  8. Yoshua Bengio
  9. Ian J. Goodfellow
  10. Jimmy Ba

Who trusts Lu Xu overall

  1. Wenxuan Zhang
  2. Bosheng Ding
  3. Lidong Bing
  4. Yaojie Lu
  5. Yang Deng
  6. Xin Li
  7. Yue Deng

Papers from Lu Xu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers