Jin-ge Yao

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 7 papers; trusts 137 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jin-ge Yao trusts overall

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

  1. Yoshua Bengio
  2. Dzmitry Bahdanau
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Alex Kulesza
  6. Kyunghyun Cho
  7. Diederik P. Kingma
  8. Ani Nenkova
  9. Hui-Ching Lin
  10. Alex Krizhevsky

Who trusts Jin-ge Yao overall

  1. Jiajun Zhang
  2. Xiaojun Wan
  3. Reinald Kim Amplayo
  4. Yizhu Liu
  5. Xiangyu Duan
  6. Junnan Zhu
  7. Yu Zhou
  8. Ondrej Dusek
  9. Ziwei Ji
  10. Seonjae Lim

Papers from Jin-ge Yao's perspective

Ordered by how strongly the researchers Jin-ge Yao 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers