Boyi Liu

Artificial Intelligence · 2 papers · 2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Reinforcement Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Federated & Distributed Learning — 7 citations into it

Whom Boyi Liu trusts overall

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

1. Dean A. Pomerleau
2. Xiaofei Wang
3. Volodymyr Mnih
4. Milad Nasr
5. Andrew Straiton Hard
6. Geoffrey E. Hinton
7. Tom Schaul
8. Alex Krizhevsky
9. Yoshua Bengio
10. Lei Tai

Who trusts Boyi Liu overall

1. Qinbin Li
2. Sawsan AbdulRahman
3. Zeyi Wen
4. Hanine Tout

Papers from Boyi Liu's perspective

Ordered by how strongly the researchers Boyi Liu 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data (2019) — 10 citations
• Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems (2019) — 276 citations