Xuejin Wen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Graph Learning — 5 citations into it

Whom Xuejin Wen trusts overall

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

1. Sandro Skansi

Papers from Xuejin Wen's perspective

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

1. Long Short-Term Memory
2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
3. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
4. Deep Learning
5. XGBoost: A Scalable Tree Boosting System
6. Gradient-based learning applied to document recognition
7. ImageNet classification with deep convolutional neural networks
8. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Discrete Signal Processing on Graphs

Their papers

• Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach (2017) — 418 citations