Jingxuan He

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingxuan He trusts overall

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

  1. Dean A. Pomerleau
  2. D. Wood
  3. Grigore Roşu
  4. Thomas Kipf
  5. Peng Chen
  6. Stéphane Ross
  7. Tomas Mikolov
  8. Miltiadis Allamanis
  9. Marcel Böhme
  10. Bo Jiang

Papers from Jingxuan He's perspective

Ordered by how strongly the researchers Jingxuan He 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers