Hao Ye

Information Systems · with Chua · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Ye trusts overall

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

  1. Steffen Rendle
  2. Yehuda Koren
  3. Hanwang Zhang
  4. Fumin Shen
  5. Fabio Petroni
  6. Kaiming He
  7. Geoffrey E. Hinton

Who trusts Hao Ye overall

  1. Xiangnan He
  2. Tongwen Huang
  3. Tat-seng Chua

Papers from Hao Ye's perspective

Ordered by how strongly the researchers Hao Ye 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. Et al
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers