Shengjie Luo

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Graph Learning — 19 citations into it
• Materials Chemistry — 18 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Statistical and Nonlinear Physics — 10 citations into it

Whom Shengjie Luo trusts overall

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

1. Weihua Hu
2. Vijay Prakash Dwivedi
3. Thomas Kipf
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. William L. Hamilton
7. Diederik P. Kingma
8. Max Welling
9. Jure Leskovec
10. Ashish Vaswani

Who trusts Shengjie Luo overall

1. Vijay Prakash Dwivedi

Papers from Shengjie Luo's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Do Transformers Really Perform Bad for Graph Representation? (2021) — 597 citations
• Do Transformers Really Perform Badly for Graph Representation? (2021) — 1,491 citations