Mingyu Gao

Computer Vision and Pattern Recognition · with Aiken · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Electrical and Electronic Engineering — 13 citations into it
• Efficiency & Compression — 5 citations into it

Whom Mingyu Gao trusts overall

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

1. Yu-hsin Chen
2. Karen Simonyan
3. Kaiming He
4. Alex Krizhevsky
5. Daniel Sánchez
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Yann LeCun
9. X. Zhang
10. Andrew B. Kahng

Who trusts Mingyu Gao overall

1. Vivienne Sze
2. Linghao Song
3. Hardik Sharma
4. Yakun Sophia Shao
5. Yu-hsin Chen
6. Angshuman Parashar

Papers from Mingyu Gao's perspective

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

Their papers

• TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory (2017) — 561 citations
• Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc (2020) — 290 citations