Hyunghoon Cho
Molecular Biology · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 33 citations into it
- Artificial Intelligence — 20 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Privacy & Security — 6 citations into it
- Biophysics — 5 citations into it
Whom Hyunghoon Cho trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. V. D. van der Maaten
- Geoffrey E. Hinton
- John Hartigan
- L. Eon Bottou
- Cynthia Dwork
- Junjie Zhu
- Yann LeCun
- Emma Pierson
- Latanya Sweeney
- Yoshua Bengio
Who trusts Hyunghoon Cho overall
Papers from Hyunghoon Cho's perspective
Ordered by how strongly the researchers Hyunghoon Cho trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs (2020) — 462 citations
- Emerging technologies towards enhancing privacy in genomic data sharing (2019) — 62 citations
- Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks (2018) — 50 citations
- Exploiting ontology graph for predicting sparsely annotated gene function (2015) — 95 citations