Jason J. Jung

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Information Systems — 18 citations into it
• Statistical and Nonlinear Physics — 13 citations into it
• Computer Networks and Communications — 12 citations into it
• Sociology and Political Science — 11 citations into it
• Signal Processing — 8 citations into it
• Management Science and Operations Research — 5 citations into it
• Molecular Biology — 5 citations into it

Whom Jason J. Jung trusts overall

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

1. Mark Newman
2. Leslie G. Valiant
3. Santo Fortunato
4. Fabrizio Sebastiani
5. Aron Culotta
6. Tom White
7. Tak-Chung Fu
8. Matei A. Zaharia
9. Michelle Girvan
10. Ying Zhao

Papers from Jason J. Jung's perspective

Ordered by how strongly the researchers Jason J. Jung 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Latent Dirichlet Allocation
10. Going deeper with convolutions

Their papers

• Explainable Movie Recommendation Systems by using Story-based Similarity (2018) — 27 citations
• Social big data: Recent achievements and new challenges (2015) — 797 citations