Yuhui Ding
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Graph Learning — 23 citations into it
- Statistical and Nonlinear Physics — 19 citations into it
- Model Architectures — 13 citations into it
- Molecular Biology — 10 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Yuhui Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Quanming Yao
- Kaiming He
- Karen Simonyan
- Barret Zoph
- Quoc V. Le
Who trusts Yuhui Ding overall
Papers from Yuhui Ding's perspective
Ordered by how strongly the researchers Yuhui Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
Their papers
- DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks (2020) — 88 citations
- Propagation Model Search for Graph Neural Networks (2020) — 7 citations