Changliu Liu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Safety, Robustness & Interpretability — 18 citations into it
• Program Analysis & Verification — 7 citations into it

Whom Changliu Liu trusts overall

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

1. Kexin Pei
2. Rüdiger Ehlers
3. Kaiming He
4. Shiqi Wang
5. Timon Gehr
6. Guy Katz
7. Matthew Mirman
8. Clark W. Barrett
9. Huan Zhang
10. J. Kolter

Papers from Changliu Liu's perspective

Ordered by how strongly the researchers Changliu Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Algorithms for Verifying Deep Neural Networks (2019) — 478 citations