Yunyu Liu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Graph Learning — 9 citations into it
• Molecular Biology — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yunyu Liu trusts overall

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

1. Thomas Kipf
2. William L. Hamilton
3. Rakshit S. Trivedi
4. Max Welling
5. Da Xu
6. Geoffrey E. Hinton
7. Jure Leskovec
8. David E. Rumelhart

Papers from Yunyu Liu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning representations by back-propagating errors

Their papers

• Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks (2021) — 355 citations