Ziang Xie

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 81 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it; #14,986 of 35,345 by trust here, #8,365 by citations
• Natural Language Processing — 58 citations into it; #4,867 of 5,688 by trust here, #2,732 by citations
• Signal Processing — 32 citations into it; #3,503 of 7,572 by trust here, #2,221 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #18,348 of 21,575 by trust here, #10,905 by citations
• Model Architectures — 29 citations into it
• Optimization & Training — 22 citations into it
• Speech & Audio — 19 citations into it; #555 of 1,076 by trust here, #628 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Ziang Xie trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Yoshua Bengio
4. Alex Krizhevsky
5. Quoc V. Le
6. Alex Graves
7. Yann LeCun
8. Oriol Vinyals
9. Dzmitry Bahdanau
10. Kyunghyun Cho

Who trusts Ziang Xie overall

1. Julian Salazar
2. Sergey I. Nikolenko
3. Ronan Collobert
4. Jason Wei
5. Yonatan Belinkov
6. Irena Spasic
7. Roman Grundkiewicz
8. Zhaohong Wan
9. Matthias Sperber
10. Nathan Ng

Papers from Ziang Xie's perspective

Ordered by how strongly the researchers Ziang Xie 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. 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Lexicon-Free Conversational Speech Recognition with Neural Networks (2015) — 146 citations
• Data Noising as Smoothing in Neural Network Language Models (2017) — 260 citations
• Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction (2018) — 122 citations
• Building DNN acoustic models for large vocabulary speech recognition (2014) — 128 citations