Guandong Xu

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 6 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Information Systems — 72 citations into it
• Natural Language Processing — 39 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Reinforcement Learning — 20 citations into it
• Recommender Systems — 16 citations into it
• Management Science and Operations Research — 15 citations into it
• Evaluation & Benchmarks — 12 citations into it

Whom Guandong Xu trusts overall

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

1. Yehuda Koren
2. Ruslan Salakhutdinov
3. Geoffrey E. Hinton
4. David M. Blei
5. Yoshua Bengio
6. Ilya Sutskever
7. Steffen Rendle
8. Diederik P. Kingma
9. Andrew Y. Ng
10. Michael I. Jordan

Who trusts Guandong Xu overall

1. Xi Zhang

Papers from Guandong Xu's perspective

Ordered by how strongly the researchers Guandong Xu 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database

Their papers

• Improving Automatic Source Code Summarization via Deep Reinforcement Learning (2018) — 433 citations
• TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search (2020) — 40 citations
• Sequential Recommender System based on Hierarchical Attention Networks (2018) — 423 citations
• Coupled Matrix Factorization Within Non-IID Context (2014) — 20 citations
• Personalized recommendation via cross-domain triadic factorization (2013) — 273 citations
• SemRec: A Semantic Enhancement Framework for Tag Based Recommendation (2011) — 19 citations