Ken Ziyu Liu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Privacy & Security — 36 citations into it
• Federated & Distributed Learning — 16 citations into it
• Biomedical Engineering — 14 citations into it
• Graph Learning — 13 citations into it
• Optimization & Training — 11 citations into it
• Computer Science Applications — 5 citations into it

Whom Ken Ziyu Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Christian Szegedy
5. Yann LeCun
6. Cynthia Dwork
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ilya Mironov
10. Ilya Sutskever

Who trusts Ken Ziyu Liu overall

1. Yisheng Song
2. Wenjie Zhu
3. Zhan Chen
4. Fanfan Ye
5. Hyung-gun Chi
6. Haodong Duan
7. Yuxin Chen
8. Tianjiao Li
9. Fadime Sener
10. Chiara Plizzari

Papers from Ken Ziyu Liu's perspective

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

Their papers

• Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition (2020) — 1,080 citations
• The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation (2021) — 307 citations