Mengyuan Zhu

Water Science and Technology · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Water Science and Technology — 9 citations into it
• Environmental Engineering — 7 citations into it

Whom Mengyuan Zhu trusts overall

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

1. J. Urgen Schmidhuber
2. Kyoung-jae Kim
3. Chaopeng Shen
4. A. Rogier

Papers from Mengyuan Zhu's perspective

Ordered by how strongly the researchers Mengyuan Zhu 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A review of the application of machine learning in water quality evaluation (2022) — 592 citations