Wei-Chieh Wu

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Wei-Chieh Wu trusts overall

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

1. Alex Krizhevsky
2. Min-Ling Zhang
3. Grigorios Tsoumakas
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Daniel J. Hsu
7. Zhi-Hua Zhou
8. Hsiang-Fu Yu
9. Weiran Wang
10. Zijia Lin

Who trusts Wei-Chieh Wu overall

1. Weiwei Liu
2. Zhen Wang
3. Tong Wei
4. Yue Deng
5. Chung-Wei Lee
6. Haobo Wang
7. Yigong Wang
8. David Charte

Papers from Wei-Chieh Wu's perspective

Ordered by how strongly the researchers Wei-Chieh Wu 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Learning Deep Latent Spaces for Multi-Label Classification (2017) — 145 citations
• Learning Deep Latent Space for Multi-Label Classification (2017) — 160 citations