Lijun Li

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Signal Processing — 9 citations into it
• Hardware and Architecture — 8 citations into it

Whom Lijun Li trusts overall

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

1. Alex Krizhevsky
2. Ian J. Goodfellow
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Nicholas Carlini
6. Anish Athalye
7. Ilya Sutskever
8. Yoshua Bengio
9. Nicolas Papernot
10. Diederik P. Kingma

Who trusts Lijun Li overall

1. Avishek Joey Bose
2. Zhichao Huang

Papers from Lijun Li's perspective

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

Their papers

• NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks (2019) — 273 citations