Yi Liu

Artificial Intelligence · with Kang · 2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #32,616 of 35,345 by trust here, #16,771 by citations
• Federated & Distributed Learning — 23 citations into it

Whom Yi Liu trusts overall

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

1. Tian Li
2. Jakub Konecný
3. Alex Krizhevsky
4. H. Brendan McMahan
5. Thomas Kipf
6. Takayuki Nishio
7. Jiawen Kang
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Amir F. Atiya

Who trusts Yi Liu overall

1. Priyanka Mary Mammen
2. Dinh C. Nguyen
3. Xinhao Wei
4. Amr Adel
5. Ming Ding

Papers from Yi Liu's perspective

Ordered by how strongly the researchers Yi 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. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Federated learning for 6G communications: Challenges, methods, and future directions (2020) — 331 citations
• Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach (2020) — 549 citations
• Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach (2020) — 497 citations