Michael Lui

Information Systems · 2020

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

Subfields

• Information Systems — 11 citations into it
• Recommender Systems — 7 citations into it

Whom Michael Lui trusts overall

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

1. Bracha Shapira
2. Yehuda Koren
3. Song Han
4. Udit Gupta
5. Maxim Naumov
6. Rex Ying
7. Weijie Zhao
8. Dmitry Lepikhin
9. Christopher Olston
10. Xinyang Yi

Who trusts Michael Lui overall

1. Bilge Acun
2. Geet Sethi
3. Kiwan Maeng

Papers from Michael Lui's perspective

Ordered by how strongly the researchers Michael Lui 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Understanding Capacity-Driven Scale-Out Neural Recommendation Inference (2020) — 58 citations