Wenxin Liu

Artificial Intelligence · with Guo · 2021

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 — 23 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom Wenxin Liu trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy

Papers from Wenxin Liu's perspective

Ordered by how strongly the researchers Wenxin Liu 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. Rethinking the Inception Architecture for Computer Vision
4. Intriguing properties of neural networks
5. Gradient-based learning applied to document recognition
6. Identity Mappings in Deep Residual Networks
7. Explaining and Harnessing Adversarial Examples
8. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Feature Importance-aware Transferable Adversarial Attacks (2021) — 329 citations