Linxi Jiang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Safety, Robustness & Interpretability — 18 citations into it

Whom Linxi Jiang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. João Carreira
4. Ilya Sutskever
5. Yann LeCun
6. Nicholas Carlini
7. Andrew Zisserman
8. Ian J. Goodfellow
9. Yoshua Bengio
10. Nicolas Papernot

Who trusts Linxi Jiang overall

1. Dongxian Wu
2. Muzammal Naseer
3. Avishek Joey Bose
4. Yisen Wang
5. Xingjun Ma

Papers from Linxi Jiang's perspective

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

Their papers

• Black-box Adversarial Attacks on Video Recognition Models (2019) — 171 citations