Ji-Hyun Lee
Signal Processing · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Signal Processing — 35 citations into it; #7,473 of 7,572 by trust here, #6,591 by citations
- Speech & Audio — 32 citations into it
- Generative Models — 21 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Ji-Hyun Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Tero Karras
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Loshchilov
- Aäron van den Oord
- Karen Simonyan
- Kaiming He
- Alex Graves
Who trusts Ji-Hyun Lee overall
Papers from Ji-Hyun Lee's perspective
Ordered by how strongly the researchers Ji-Hyun Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Going deeper with convolutions