Sang Hyun Lee
Electrical and Electronic Engineering · with Lee · 2018–2019
A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 35 citations into it; #6,780 of 16,539 by trust here, #12,727 by citations
- Artificial Intelligence — 27 citations into it
- Computer Networks and Communications — 22 citations into it
- Optimization & Training — 13 citations into it
- Aerospace Engineering — 9 citations into it
- Model Architectures — 8 citations into it
Whom Sang Hyun Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Woongsup Lee
- Yoshua Bengio
- Diederik P. Kingma
- Sergey Ioffe
- Yann LeCun
- Hoon Lee
- Xavier Glorot
- Minhoe Kim
- Geoffrey E. Hinton
- Jimmy Ba
Who trusts Sang Hyun Lee overall
Papers from Sang Hyun Lee's perspective
Ordered by how strongly the researchers Sang Hyun Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications (2018) — 48 citations
- Binary signaling design for visible light communication: a deep learning framework. (2018) — 40 citations
- Deep learning based transceiver design for multi-colored VLC systems. (2018) — 48 citations
- Constrained Deep Learning for Wireless Resource Management (2019) — 14 citations
- Deep Learning for Distributed Optimization: Applications to Wireless Resource Management (2019) — 118 citations