Xin Wang

AAAI Conference on Artificial Intelligence · with Diao · 2019

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 Xin Wang trusts overall

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

1. A. Hinge
2. Joan Bruna
3. Thomas Kipf
4. Billy M. Williams
5. Mikael Henaff
6. Ting Yu
7. Yann LeCun
8. Zhiyong Cui

Papers from Xin Wang's perspective

Ordered by how strongly the researchers Xin Wang 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Spectral Networks and Locally Connected Networks on Graphs
7. Attention is All you Need (Neural Information Processing Systems)
8. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting (2019) — 344 citations