Mengjia Yan

Artificial Intelligence · with Fletcher · 2018

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Networks and Communications — 13 citations into it
• Hardware and Architecture — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Signal Processing — 11 citations into it
• Model Architectures — 6 citations into it

Whom Mengjia Yan trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Yann LeCun
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Fangfei Liu
8. Andrew Zisserman
9. Binghui Wang
10. Kazushige Goto

Who trusts Mengjia Yan overall

1. Mihailo Isakov
2. Soham Pal
3. Krishnagiri Narra
4. Bargav Jayaraman
5. Vijay Gadepally
6. Yash Gupta

Papers from Mengjia Yan's perspective

Ordered by how strongly the researchers Mengjia Yan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures (2018) — 289 citations
• InvisiSpec: Making Speculative Execution Invisible in the Cache Hierarchy (2018) — 295 citations