Xuefeng Du

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 192 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it
• Computer Vision and Pattern Recognition — 68 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Anomaly & Outlier Detection — 9 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Xuefeng Du trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Shaoqing Ren
7. Yoshua Bengio
8. Yann LeCun
9. Dan Hendrycks
10. Ilya Sutskever

Papers from Xuefeng Du's perspective

Ordered by how strongly the researchers Xuefeng Du 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• OpenOOD: Benchmarking Generalized Out-of-Distribution Detection (2022) — 381 citations
• VOS: Learning What You Don't Know by Virtual Outlier Synthesis (2022) — 447 citations