Yuan Li

Artificial Intelligence · with Li · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 370 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 110 citations into it; #19,989 of 35,345 by trust here, #15,866 by citations
• Computer Vision and Pattern Recognition — 80 citations into it; #12,494 of 21,575 by trust here, #12,172 by citations
• Natural Language Processing — 79 citations into it
• Generative Models — 27 citations into it
• Multimodal Learning — 18 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Model Architectures — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Yuan Li trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Oriol Vinyals
7. Ilya Sutskever
8. Yann LeCun
9. Ronald J. Williams
10. Ruslan Salakhutdinov

Who trusts Yuan Li overall

1. Zhihong Chen
2. Yan Song
3. Baoyu Jing
4. Fenglin Liu
5. Yasuhide Miura
6. Jun Chen
7. Yuhao Zhang
8. Xiang Wan
9. Di Jin
10. Tsung-Hui Chang

Papers from Yuan Li's perspective

Ordered by how strongly the researchers Yuan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation (2018) — 436 citations
• Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space (2020) — 202 citations
• Complementary Auxiliary Classifiers for Label-Conditional Text Generation (2020) — 23 citations
• Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation (2019) — 333 citations