Ruifan Li

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 82 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it; #8,433 of 21,575 by trust here, #6,737 by citations
• Representation & Self-Supervised Learning — 20 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Natural Language Processing — 11 citations into it
• Model Architectures — 7 citations into it
• Multimodal Learning — 6 citations into it; #459 of 1,211 by trust here, #770 by citations

Whom Ruifan Li trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ruslan Salakhutdinov
4. Max Welling
5. Yann LeCun
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Ilya Sutskever
9. Radford M. Neal
10. Richard Socher

Who trusts Ruifan Li overall

1. Yuxin Peng
2. Shiv Ram Dubey
3. Mingsheng Long
4. John Arevalo
5. Xing Xu

Papers from Ruifan Li's perspective

Ordered by how strongly the researchers Ruifan 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Challenges in representation learning: A report on three machine learning contests (2013) — 2,020 citations
• Cross-modal Retrieval with Correspondence Autoencoder (2014) — 585 citations
• Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis (2021) — 454 citations
• Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice (2013) — 12 citations