Jin Li

Artificial Intelligence · with Fu · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Information Systems — 18 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Jin Li trusts overall

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

1. Julian McAuley
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Yoshua Bengio
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Jiacheng Li

Papers from Jin Li's perspective

Ordered by how strongly the researchers Jin Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. Layer Normalization
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Text Is All You Need: Learning Language Representations for Sequential Recommendation (2023) — 383 citations