Xiaofei Xie

Artificial Intelligence · with Chen · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Computer Vision and Pattern Recognition — 58 citations into it
• Safety, Robustness & Interpretability — 36 citations into it
• Generative Models — 12 citations into it

Whom Xiaofei Xie trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ian J. Goodfellow
5. Alex Krizhevsky
6. Nicholas Carlini
7. Kaiming He
8. Diederik P. Kingma
9. Christian Szegedy
10. Karen Simonyan

Papers from Xiaofei Xie's perspective

Ordered by how strongly the researchers Xiaofei Xie 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. ImageNet classification with deep convolutional neural networks
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces (2019) — 60 citations
• Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning (2020) — 149 citations
• DeepHunter: a coverage-guided fuzz testing framework for deep neural networks (2019) — 472 citations
• Hawkeye: Towards a Desired Directed Grey-box Fuzzer (2018) — 343 citations