Zhu Mao

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Zhu Mao trusts overall

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

1. Diederik P. Kingma
2. Zhuyun Chen
3. Ilya Sutskever
4. Jun Zhu
5. Rui Zhao
6. Oriol Vinyals
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Ephrem Chemali
10. Xingjian Shi

Papers from Zhu Mao's perspective

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

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

Their papers

• Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction (2021) — 428 citations