Jing-Xuan Zhang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jing-Xuan Zhang trusts overall

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

  1. Alex Graves
  2. Dzmitry Bahdanau
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Max Welling Donald
  6. Kyunghyun Cho
  7. J. Urgen Schmidhuber
  8. Geoffrey E. Hinton
  9. Ilya Sutskever
  10. Daniel W. Griffin

Who trusts Jing-Xuan Zhang overall

  1. Yusuke Yasuda
  2. Tomoki Hayashi
  3. Hamed Hemati
  4. Xin Eric Wang
  5. Mutian He
  6. Naihan Li
  7. D. Lim
  8. Junichi Yamagishi
  9. Damian Borth
  10. Shinji Watanabe

Papers from Jing-Xuan Zhang's perspective

Ordered by how strongly the researchers Jing-Xuan Zhang 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers