Han Xiao

Artificial Intelligence · with Huang · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Han Xiao trusts overall

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

  1. Antoine Bordes
  2. Xavier Glorot
  3. Yoshua Bengio
  4. George A. Miller
  5. Yankai Lin
  6. Jason Aaron Edward Weston
  7. Geoffrey E. Hinton
  8. David M. Blei
  9. Zhiyuan Liu
  10. Ilya Sutskever

Who trusts Han Xiao overall

  1. Jun Feng
  2. Takuo Hamaguchi
  3. Minlie Huang
  4. Hongyun Cai
  5. Liang Yao
  6. Shaoxiong Ji
  7. Xiaoyan Zhu
  8. Hidekazu Oiwa
  9. Matthew E. Peters
  10. Bo Wang

Papers from Han Xiao's perspective

Ordered by how strongly the researchers Han Xiao 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers