Yikun Xian

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yikun Xian trusts overall

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

  1. Ruining He
  2. Julian McAuley
  3. Ruslan Salakhutdinov
  4. Richard S. Sutton
  5. Yongfeng Zhang
  6. Tomas Mikolov
  7. Yehuda Koren
  8. Geoffrey E. Hinton
  9. Ilya Sutskever
  10. Qingyao Ai

Who trusts Yikun Xian overall

  1. M. M. Afsar
  2. Ciyuan Peng
  3. Yuhao Yang
  4. Shaoxiong Ji
  5. Qingyu Guo
  6. Chen Gao
  7. Shirui Pan
  8. Trafford Crump
  9. Yongfeng Zhang
  10. Chao Huang

Papers from Yikun Xian's perspective

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

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

Their papers