Fan-Yun Sun
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #15,196 of 35,345 by trust here, #13,962 by citations
- Graph Learning — 27 citations into it
- Representation & Self-Supervised Learning — 27 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Molecular Biology — 7 citations into it
- Natural Language Processing — 7 citations into it
- Materials Chemistry — 6 citations into it; #3,057 of 11,513 by trust here, #7,227 by citations
Whom Fan-Yun Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Chih-Jen Lin
- Ilya Sutskever
- Andriy Mnih
- Ronan Collobert
- Alex Krizhevsky
- Max Welling
Who trusts Fan-Yun Sun overall
- William L. Hamilton
- Lirong Wu
- Kaveh Hassani
- Xiao Liu
- Namkyeong Lee
- Zhenyu Hou
- Yaochen Xie
- Susheel Suresh
- Joshua Robinson
- Hongzuo Xu
Papers from Fan-Yun Sun's perspective
Ordered by how strongly the researchers Fan-Yun Sun 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)