Xiang Li

Artificial Intelligence · with Bruna · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #17,692 of 35,345 by trust here, #25,040 by citations
• Graph Learning — 13 citations into it
• Statistical and Nonlinear Physics — 6 citations into it; #4,467 of 10,127 by trust here, #6,156 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Model Architectures — 5 citations into it
• Molecular Biology — 5 citations into it

Whom Xiang Li trusts overall

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

1. Jaewon Yang
2. Diederik P. Kingma
3. Emmanuel Abbe
4. Yann LeCun
5. Kaiming He
6. Sergey Ioffe
7. Karol Gregor
8. Jure Leskovec
9. Geoffrey E. Hinton
10. Christian Szegedy

Who trusts Xiang Li overall

1. Kiran Koshy Thekumparampil
2. Alex W. Nowak
3. Dongsheng Luo

Papers from Xiang Li's perspective

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

Their papers

• Community Detection with Graph Neural Networks (2017) — 87 citations