Jong Wook Kim

Artificial Intelligence · with Jang · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Privacy & Security — 11 citations into it
• Natural Language Processing — 9 citations into it
• Sociology and Political Science — 8 citations into it
• Computer Science Applications — 5 citations into it

Whom Jong Wook Kim trusts overall

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

1. Ú. Erlingsson
2. Arvind Narayanan
3. Cynthia Dwork
4. Giulia C. Fanti
5. Frank McSherry
6. Vasyl Pihur
7. Zhan Qin
8. Vitaly Shmatikov
9. Kristen LeFevre
10. Ke Wang

Papers from Jong Wook Kim's perspective

Ordered by how strongly the researchers Jong Wook Kim 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Calibrating Noise to Sensitivity in Private Data Analysis
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Differential Privacy
8. Long Short-Term Memory
9. Randomized response: a survey technique for eliminating evasive answer bias.
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Application of Local Differential Privacy to Collection of Indoor Positioning Data (2018) — 62 citations
• Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism (2020) — 385 citations
• Q-Learning Algorithms: A Comprehensive Classification and Applications (2019) — 505 citations