Qingyu Guo

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Information Systems — 36 citations into it
• Recommender Systems — 13 citations into it
• Knowledge Graphs & Representation — 11 citations into it

Whom Qingyu Guo trusts overall

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

1. Hongwei Wang
2. Fuzheng Zhang
3. Geoffrey E. Hinton
4. Yoon Kim
5. Tomas Mikolov
6. Yoshua Bengio
7. Dekang Lin
8. Diederik P. Kingma
9. Ruslan Salakhutdinov
10. Alex Krizhevsky

Papers from Qingyu Guo's perspective

Ordered by how strongly the researchers Qingyu Guo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• A Survey on Knowledge Graph-Based Recommender Systems (2020) — 1,001 citations