Xinying Song

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Natural Language Processing — 40 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Model Architectures — 14 citations into it
• Signal Processing — 11 citations into it

Whom Xinying Song trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Alex Graves
5. Li Deng
6. Tomas Mikolov
7. J. Urgen Schmidhuber
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yann LeCun

Papers from Xinying Song's perspective

Ordered by how strongly the researchers Xinying Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Compositional Semantic Parsing with Large Language Models (2022) — 113 citations
• Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval (2015) — 861 citations