Yujie Ji

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 250 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #35,156 of 35,345 by trust here, #21,316 by citations
• Safety, Robustness & Interpretability — 57 citations into it; #2,242 of 2,251 by trust here, #1,780 by citations
• Computer Vision and Pattern Recognition — 42 citations into it
• Signal Processing — 27 citations into it; #7,551 of 7,572 by trust here, #3,913 by citations
• Computer Networks and Communications — 20 citations into it
• Information Systems — 15 citations into it
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Yujie Ji trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Yann LeCun
5. Kaiming He
6. Ilya Sutskever
7. Yoshua Bengio
8. Ian J. Goodfellow
9. Jimmy Ba
10. Karen Simonyan

Who trusts Yujie Ji overall

1. Eugene Bagdasarian
2. Zhengyan Zhang
3. Taegyeong Lee
4. Edward Chou
5. Yingqi Liu
6. Xudong Pan
7. Vitaly Shmatikov
8. Mauro Barni
9. S. Ji
10. Andreas Veit

Papers from Yujie Ji's perspective

Ordered by how strongly the researchers Yujie Ji 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Model-Reuse Attacks on Deep Learning Systems (2018) — 201 citations
• EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report) (2018)
• Backdoor attacks against learning systems (2017) — 70 citations