Cong Liao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Optimization & Training — 6 citations into it

Whom Cong Liao trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. L. Eon Bottou
4. Yoshua Bengio
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Christian Szegedy
9. Seyed-Mohsen Moosavi-Dezfooli
10. Jimmy Ba

Who trusts Cong Liao overall

1. Aniruddha Saha
2. Fanchao Qi
3. Xiaojun Xu
4. Akshayvarun Subramanya
5. Yige Li

Papers from Cong Liao's perspective

Ordered by how strongly the researchers Cong Liao 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. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation (2018) — 353 citations