Yingjie Lao

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Safety, Robustness & Interpretability — 38 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Signal Processing — 22 citations into it
• Hardware and Architecture — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it

Whom Yingjie Lao trusts overall

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

1. Christian Szegedy
2. Alex Krizhevsky
3. Yann LeCun
4. Kaiming He
5. Nicolas Papernot
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Yoshua Bengio
9. Ian J. Goodfellow
10. Diederik P. Kingma

Who trusts Yingjie Lao overall

1. Xiaojun Xu
2. Yiming Li

Papers from Yingjie Lao's perspective

Ordered by how strongly the researchers Yingjie Lao 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Hardware Trojan Attacks on Neural Networks (2018) — 98 citations
• LIRA: Learnable, Imperceptible and Robust Backdoor Attacks (2021) — 328 citations