Yun Zhu

IEEE International Conference on Cognitive Informatics and Cognitive Computing · with Lilleberg · 2015

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

Whom Yun Zhu trusts overall

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

  1. Yoav Goldberg
  2. Tomas Mikolov

Who trusts Yun Zhu overall

  1. Aleksander Aristovnik

Papers from Yun Zhu's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (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