Xing Niu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 114 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #20,898 of 35,345 by trust here, #26,682 by citations
• Natural Language Processing — 33 citations into it; #3,554 of 5,688 by trust here, #4,793 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #13,014 of 21,575 by trust here, #18,266 by citations
• Model Architectures — 9 citations into it
• Reinforcement Learning — 9 citations into it
• Optimization & Training — 8 citations into it

Whom Xing Niu trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Rico Sennrich
7. Ilya Sutskever
8. Kyunghyun Cho
9. Alex Krizhevsky
10. R. Caruana

Who trusts Xing Niu overall

1. Isaac Caswell
2. Yunsheng Li
3. Markus Freitag
4. Felix Stahlberg
5. Ciprian Chelba
6. Lu Yuan
7. Philipp Koehn
8. Anna Currey

Papers from Xing Niu's perspective

Ordered by how strongly the researchers Xing Niu 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Bi-Directional Neural Machine Translation with Synthetic Parallel Data (2018) — 60 citations
• Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation (2019) — 10 citations