Weiwen Jiang

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Model Architectures — 8 citations into it

Whom Weiwen Jiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Barret Zoph
2. Quoc V. Le
3. Yongming Shen
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Hanxiao Liu
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Kaiming He
10. Xiaofan Zhang

Papers from Weiwen Jiang's perspective

Ordered by how strongly the researchers Weiwen Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Hardware/Software Co-Exploration of Neural Architectures (2019) — 146 citations
• Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search (2019) — 132 citations