Yuanyuan Shi

Artificial Intelligence · 2017–2021

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

Subfields

• Artificial Intelligence — 26 citations into it
• Safety, Robustness & Interpretability — 18 citations into it

Whom Yuanyuan Shi trusts overall

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

1. Xiaomin Xi
2. Ramteen Sioshansi
3. J. Kolter
4. Eric Wong

Papers from Yuanyuan Shi's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Intriguing properties of neural networks
3. Towards Deep Learning Models Resistant to Adversarial Attacks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
7. Parseval Networks: Improving Robustness to Adversarial Examples
8. Gradient-based learning applied to document recognition
9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
10. Provable defenses against adversarial examples via the convex outer adversarial polytope

Their papers

• Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (2021) — 100 citations
• Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains (2017) — 351 citations