Junxiong Zhu

Artificial Intelligence · 2019

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

Subfields

Whom Junxiong Zhu trusts overall

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

  1. Jerome H. Friedman
  2. Jorge M. Lobo

Papers from Junxiong Zhu's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. Greedy function approximation: A gradient boosting machine.
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Heterogeneous Information Network Embedding for Recommendation (IEEE Transactions on Knowledge and Data Engineering)

Their papers