Meng Hao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #27,090 of 35,345 by trust here, #15,866 by citations
• Privacy & Security — 15 citations into it

Whom Meng Hao trusts overall

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

1. Cynthia Dwork
2. Craig Gentry
3. Zvika Brakerski
4. Oded Regev
5. Le Trieu Phong
6. Vadim Lyubashevsky
7. Reza Shokri
8. T-H. Hubert Chan
9. Ronan Collobert
10. Martín Abadi

Who trusts Meng Hao overall

1. Xuefei Yin
2. Yanming Zhu
3. Li Li
4. Yassine Himeur
5. Rodolfo Stoffel Antunes
6. Dinh C. Nguyen
7. Ji Liu
8. Jiankun Hu
9. Yang Zhao

Papers from Meng Hao's perspective

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

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

Their papers

• Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence (2020) — 418 citations
• Towards Efficient and Privacy-Preserving Federated Deep Learning (2019) — 200 citations