Xian-Ling Mao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Natural Language Processing — 51 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Large Language Models — 13 citations into it

Whom Xian-Ling Mao trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Tomas Mikolov
6. Alex Krizhevsky
7. Guillaume Lample
8. Alexis Conneau
9. Kaiming He
10. Ashish Vaswani

Papers from Xian-Ling Mao's perspective

Ordered by how strongly the researchers Xian-Ling Mao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Cross-Lingual Natural Language Generation via Pre-Training (2019) — 142 citations
• InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training (2020) — 442 citations
• Global Context Enhanced Graph Neural Networks for Session-based Recommendation (2020) — 626 citations