Yaochen Hu

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #31,502 of 35,345 by trust here, #24,417 by citations
• Privacy & Security — 18 citations into it
• Computer Networks and Communications — 12 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Yaochen Hu trusts overall

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

1. Cynthia Dwork
2. Tao Zhang
3. Mu Li
4. Kamalika Chaudhuri
5. Reza Shokri
6. Quanyan Zhu
7. Alex Smola
8. B. Recht
9. Qirong Ho
10. Yi Zhou

Who trusts Yaochen Hu overall

1. Yang Liu
2. Khaled Ben Letaief
3. Yan Kang
4. Yuanming Shi
5. Kang Yan
6. Xinwei Zhang
7. Tianjian Chen

Papers from Yaochen Hu's perspective

Ordered by how strongly the researchers Yaochen Hu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning Privately over Distributed Features: An ADMM Sharing Approach (2019) — 39 citations
• FDML: A Collaborative Machine Learning Framework for Distributed Features (2019) — 196 citations