Yanzhuo Ding

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #16,520 of 35,345 by trust here, #17,412 by citations
• Natural Language Processing — 11 citations into it; #2,931 of 5,688 by trust here, #3,529 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #10,545 of 21,575 by trust here, #11,721 by citations

Whom Yanzhuo Ding trusts overall

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

1. Ilya Sutskever
2. Dzmitry Bahdanau
3. Kyunghyun Cho
4. Yoshua Bengio
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Oriol Vinyals
9. Diederik P. Kingma
10. Aravindh Mahendran

Who trusts Yanzhuo Ding overall

1. Yonatan Belinkov
2. Felix Stahlberg
3. Giulia Vilone
4. Manish Gupta
5. Shuoyang Ding
6. Wojciech Samek
7. Ning Xie
8. Elena Voita
9. Katherine Lee
10. Leila Arras

Papers from Yanzhuo Ding's perspective

Ordered by how strongly the researchers Yanzhuo Ding 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Visualizing and Understanding Neural Machine Translation (2017) — 185 citations