Zixuan Yuan

IEEE Internet of Things Journal · 2021

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

Whom Zixuan Yuan trusts overall

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

1. Aditya P. Mathur

Papers from Zixuan Yuan's perspective

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

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

Their papers

• Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT (2021) — 541 citations