Renping Liu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it

Whom Renping Liu trusts overall

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

1. Diederik P. Kingma

Papers from Renping Liu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Large Scale Distributed Deep Networks
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Regularization of Neural Networks using DropConnect
10. TensorFlow: A system for large-scale machine learning

Their papers

• Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems (2021) — 394 citations