Lu Liu

Artificial Intelligence · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Neural Architecture Search & AutoML — 16 citations into it
• Model Architectures — 13 citations into it
• Efficiency & Compression — 9 citations into it
• Optimization & Training — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Lu Liu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Xuanyi Dong
4. Geoffrey E. Hinton
5. Frank Hutter
6. Karen Simonyan
7. Yoshua Bengio
8. Sergey Ioffe
9. Christian Szegedy
10. Diederik P. Kingma

Who trusts Lu Liu overall

1. J. Mellor

Papers from Lu Liu's perspective

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

Their papers

• NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size (2020) — 213 citations