Zihao Ding

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Zihao Ding trusts

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

1. Rob Fergus (in Computer Vision and Pattern Recognition)
2. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
4. Kaiming He (in Computer Vision and Pattern Recognition)
5. X. Zhang (in Computer Vision and Pattern Recognition)
6. Percy Liang (in Artificial Intelligence)

Papers from Zihao Ding's perspective

Ordered by how strongly the researchers Zihao Ding 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. Intriguing properties of neural networks
3. Visualizing and Understanding Convolutional Networks
4. Explaining and Harnessing Adversarial Examples
5. ImageNet classification with deep convolutional neural networks
6. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
7. Gradient-based learning applied to document recognition
8. Towards Deep Learning Models Resistant to Adversarial Attacks
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Towards Frequency-Based Explanation for Robust CNN (2020) — 57 citations