Wei Luo

Artificial Intelligence · with Berk · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Signal Processing — 39 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Natural Language Processing — 13 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Wei Luo trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Douglas M. Hawkins
4. M. Babyak
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yoshua Bengio
8. Alex Krizhevsky
9. Kaiming He
10. Yann LeCun

Who trusts Wei Luo overall

1. Rajiv Movva

Papers from Wei Luo's perspective

Ordered by how strongly the researchers Wei Luo 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View (2016) — 874 citations
• A Survey of Android Malware Detection with Deep Neural Models (2020) — 298 citations