Zixin Ye

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zixin Ye trusts overall

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

  1. Jerome H. Friedman
  2. Ralf Engbert

Papers from Zixin Ye's perspective

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

  1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  2. Bleu: a Method for Automatic Evaluation of Machine Translation
  3. Efficient Estimation of Word Representations in Vector Space
  4. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  5. QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
  6. Greedy function approximation: A gradient boosting machine.
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet classification with deep convolutional neural networks
  9. Gated-Attention Readers for Text Comprehension
  10. Natural Language Comprehension with the EpiReader

Their papers