Yongjun Xu

Artificial Intelligence · International Conference on Information and Knowledge Management · 2022

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Building and Construction — 37 citations into it
• Transportation — 29 citations into it
• Model Architectures — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Graph Learning — 13 citations into it
• Control and Systems Engineering — 10 citations into it
• Natural Language Processing — 9 citations into it

Whom Yongjun Xu trusts overall

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

1. Zonghan Wu
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Kaiming He
7. Alex Krizhevsky
8. Shengna Guo
9. Kyunghyun Cho
10. Yann LeCun

Papers from Yongjun Xu's perspective

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

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

Their papers

• Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting (2022) — 370 citations
• Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting (2022) — 482 citations
• Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting (2022) — 378 citations