Li-Ming Zhao

Artificial Intelligence · 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 Li-Ming Zhao 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 Li-Ming Zhao's perspective

Ordered by how strongly the researchers Li-Ming Zhao 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

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