Ming Zheng

Artificial Intelligence · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #26,609 of 35,345 by trust here, #33,294 by citations
• Efficiency & Compression — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Ming Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Raghuraman Krishnamoorthi
3. Jonathan Frankle
4. M. A. Carreira-Perpiñán
5. Diederik P. Kingma
6. Song Han
7. Christos Louizos

Who trusts Ming Zheng overall

1. Dianbo Liu

Papers from Ming Zheng's perspective

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

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

Their papers

• Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden (2018) — 7 citations