Jie Yang

Artificial Intelligence · with Huang · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Graph Learning — 9 citations into it

Whom Jie Yang trusts overall

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

1. Keyulu Xu
2. Prithviraj Sen
3. Thomas Kipf
4. Ryan A. Rossi
5. William L. Hamilton
6. Christopher Morris
7. Jure Leskovec
8. Song Bai
9. Max Welling
10. Pan Li

Papers from Jie Yang's perspective

Ordered by how strongly the researchers Jie Yang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (2021) — 298 citations