Shuo Wang
Computer Vision and Pattern Recognition · European Respiratory Journal · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it
Whom Shuo Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Sergey Ioffe
- Yoshua Bengio
- Ilya Sutskever
- Christian Szegedy
- Xavier Glorot
- Ross B. Girshick
- Yann LeCun
Who trusts Shuo Wang overall
Papers from Shuo Wang's perspective
Ordered by how strongly the researchers Shuo Wang 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The Role of Imaging in the Detection and Management of COVID-19: A Review (2020) — 318 citations
- A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis (2020) — 440 citations
- The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges (2019) — 830 citations
- Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning (2019) — 369 citations
- Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation (2017) — 470 citations