Jinoh Oh

Information Systems · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 18 citations into it; #6,244 of 8,771 by trust here, #3,640 by citations
• Artificial Intelligence — 16 citations into it; #34,659 of 35,345 by trust here, #19,018 by citations
• Natural Language Processing — 9 citations into it
• Recommender Systems — 9 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Jinoh Oh trusts overall

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

1. Yehuda Koren
2. Robert M. Bell
3. Yifan Hu
4. Martin A. Zinkevich
5. Hsiang-Fu Yu
6. Yunhong Zhou
7. Rainer Gemulla
8. Yong Zhuang
9. Geoffrey E. Hinton
10. Yann LeCun

Who trusts Jinoh Oh overall

1. Kumar Kshitij Patel
2. Aymeric Dieuleveut

Papers from Jinoh Oh's perspective

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

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

Their papers

• Convolutional Matrix Factorization for Document Context-Aware Recommendation (2016) — 769 citations
• Fast and Robust Parallel SGD Matrix Factorization (2015) — 53 citations