Yonghong Luo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Yonghong Luo trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter
3. Sergey Ioffe
4. Patrick E. McKnight
5. Trevor J. Hastie
6. Yoshua Bengio
7. Alex Krizhevsky
8. Kyunghyun Cho
9. Rahul Mazumder
10. Ilya Sutskever

Who trusts Yonghong Luo overall

1. Qingqiang Sun
2. Wenjie Du
3. Yulia Rubanova
4. Y. Tashiro
5. Vincent Fortuin
6. Shibo Zhang
7. Zhiqiang Ge
8. Ricky T. Q. Chen
9. David Cote
10. Jiaming Song

Papers from Yonghong Luo's perspective

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

Their papers

• Multivariate Time Series Imputation with Generative Adversarial Networks (2018) — 534 citations