Jialu Li

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Natural Language Processing — 17 citations into it
• Multimodal Learning — 10 citations into it

Whom Jialu Li trusts overall

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

1. Kaiming He
2. Christopher D. Manning
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Richard Socher
7. Diederik P. Kingma
8. Peter Anderson
9. Ilya Sutskever
10. X. Zhang

Papers from Jialu Li's perspective

Ordered by how strongly the researchers Jialu Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information (2021) — 39 citations