Yading Yuan
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Radiology, Nuclear Medicine and Imaging — 19 citations into it
- Model Architectures — 9 citations into it
- Optimization & Training — 8 citations into it
- Biophysics — 5 citations into it
Whom Yading Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Xavier Glorot
- Yann LeCun
- Evan Shelhamer
- Jimmy Ba
Who trusts Yading Yuan overall
- Yutong Xie
- Mugahed A. Al-antari
- Xiaomeng Li
- Shervin Minaee
- Hasib Zunair
- Mohammed A. Al-masni
- Jianpeng Zhang
- Lequan Yu
- Yuri Boykov
Papers from Yading Yuan's perspective
Ordered by how strongly the researchers Yading Yuan 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations
- Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance (2017) — 601 citations