Bao-Liang Lu

Artificial Intelligence · with Jiang · 2024

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Bao-Liang Lu trusts overall

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

1. Kaiming He
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Alec Radford
5. Aäron van den Oord
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yoshua Bengio
9. Oriol Vinyals
10. Ilya Sutskever

Papers from Bao-Liang Lu's perspective

Ordered by how strongly the researchers Bao-Liang Lu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Layer Normalization
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI (2024) — 391 citations