Jie Liang

Artificial Intelligence · with Cui · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 84 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Computer Networks and Communications — 23 citations into it
• Signal Processing — 21 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Privacy & Security — 15 citations into it
• Information Systems — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Jie Liang trusts overall

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

1. Geoffrey E. Hinton
2. Battista Biggio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Blaine Nelson
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Ilya Sutskever
10. Pang Wei Koh

Papers from Jie Liang's perspective

Ordered by how strongly the researchers Jie Liang 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning (2022) — 303 citations