Runhui Wang

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Graph Learning — 13 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Runhui Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Sepp Hochreiter
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jeffrey L. Elman
7. Christian Szegedy
8. Kaiming He
9. Yann LeCun
10. Ilya Sutskever

Papers from Runhui Wang's perspective

Ordered by how strongly the researchers Runhui Wang 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Language is All a Graph Needs (2023) — 307 citations