Aolin Xu

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #6,965 of 35,345 by trust here, #17,110 by citations
• Statistics and Probability — 10 citations into it; #4,583 of 12,932 by trust here, #8,279 by citations
• Statistical Learning Theory — 9 citations into it
• Computer Networks and Communications — 7 citations into it; #2,823 of 9,886 by trust here, #7,140 by citations

Whom Aolin Xu trusts overall

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

1. Cynthia Dwork
2. Tong Zhang
3. Frank McSherry
4. Thomas M. Cover
5. Imre Csiszár
6. A. Garg
7. Yury Polyanskiy
8. Shai Shalev-Shwartz
9. Raef Bassily
10. Maxim Raginsky

Who trusts Aolin Xu overall

1. Jayadev Acharya
2. Yanjun Han
3. Vitaly Feldman
4. Mario Díaz
5. Clément Louis Canonne
6. Ankit Pensia
7. Ayfer Özgür
8. Hrayr Harutyunyan
9. Xu Cheng
10. Jeffrey Negrea

Papers from Aolin Xu's perspective

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

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

Their papers

• Information-theoretic analysis of generalization capability of learning algorithms (2017) — 562 citations
• Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation (2016) — 61 citations