Jie Hwan Lee

Signal Processing · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 35 citations into it
• Artificial Intelligence — 32 citations into it
• Speech & Audio — 22 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jie Hwan Lee trusts overall

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

1. Geoffrey E. Hinton
2. Naoya Takahashi
3. Zhong-Qiu Wang
4. Yoshua Bengio
5. Jonathan Le Roux
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Aäron van den Oord
9. Kaiming He
10. Yann LeCun

Papers from Jie Hwan Lee's perspective

Ordered by how strongly the researchers Jie Hwan Lee 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations (2021) — 198 citations
• Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net (2020) — 22 citations