Hyun Ah Song

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Information Systems — 15 citations into it
• Statistical and Nonlinear Physics — 9 citations into it; #8,734 of 10,127 by trust here, #9,682 by citations

Whom Hyun Ah Song trusts overall

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

1. Jon M. Kleinberg
2. Jure Leskovec
3. Nitin Jindal
4. Julian McAuley
5. Yehuda Koren
6. Zoltán Gyöngyi
7. Behnam Neyshabur
8. Anshumali Shrivastava
9. Hongning Wang
10. Leman Akoglu

Who trusts Hyun Ah Song overall

1. Binghui Wang
2. Lijun Sun

Papers from Hyun Ah Song's perspective

Ordered by how strongly the researchers Hyun Ah Song 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• FRAUDAR: Bounding Graph Fraud in the Face of Camouflage (2016) — 393 citations
• TensorCast: forecasting and mining with coupled tensors (2018) — 10 citations