Jungwoo Lee

Artificial Intelligence · with Han · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #10,773 of 35,345 by trust here, #19,873 by citations
• Computer Networks and Communications — 13 citations into it; #6,315 of 9,886 by trust here, #8,543 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #11,648 of 21,575 by trust here, #15,162 by citations
• Computational Theory and Mathematics — 7 citations into it
• ML Systems & Hardware — 7 citations into it
• Optimization & Training — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Jungwoo Lee trusts overall

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

1. Qian Yu
2. Alex Krizhevsky
3. Heecheol Yang
4. Mohammad Ali Maddah-Ali
5. Kangwook Lee
6. Christian Szegedy
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Sergey Ioffe
10. Yoshua Bengio

Who trusts Jungwoo Lee overall

1. Wei-Ting Chang
2. Ravi Tandon
3. Naveed Akhtar
4. Rafael G. L. D'Oliveira
5. David Stutz
6. Andrew Ilyas
7. Xiyang Luo
8. Ajmal Saeed Mian

Papers from Jungwoo Lee's perspective

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

Their papers

• Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN (2017) — 157 citations
• Secure Distributed Computing With Straggling Servers Using Polynomial Codes (2019) — 115 citations
• Private Secure Coded Computation (2019) — 43 citations