Can Li

Artificial Intelligence · with Wang · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Graph Learning — 6 citations into it

Whom Can Li trusts overall

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

1. Thomas Kipf

Papers from Can Li's perspective

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

1. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. Long Short-Term Memory
8. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. A Recurrent Latent Variable Model for Sequential Data

Their papers

• Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020) — 2,016 citations