Dongsheng Luo

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Graph Learning — 31 citations into it
• Generative Models — 8 citations into it

Whom Dongsheng Luo trusts overall

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

1. Yoshua Bengio
2. Ronald J. Williams
3. Joan Bruna
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Max Welling
7. Yann LeCun
8. Alex Krizhevsky
9. William L. Hamilton
10. Andriy Mnih

Who trusts Dongsheng Luo overall

1. Siqi Miao
2. Michael Sejr Schlichtkrull
3. Hao Yuan
4. Susheel Suresh
5. Yingmin Wu
6. Pan Li
7. Qiang Huang
8. Jinghao Zhang
9. Thomas Schnake
10. Nicola De Cao

Papers from Dongsheng Luo's perspective

Ordered by how strongly the researchers Dongsheng Luo 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Parameterized Explainer for Graph Neural Network (2020) — 824 citations
• Learning to Drop: Robust Graph Neural Network via Topological Denoising (2020) — 323 citations