Ruiwen Li
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 348 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 154 citations into it; #26,075 of 35,345 by trust here, #10,430 by citations
- Computer Vision and Pattern Recognition — 125 citations into it; #16,004 of 21,575 by trust here, #7,340 by citations
- Meta & Continual Learning — 110 citations into it; #818 of 1,041 by trust here, #331 by citations
- Representation & Self-Supervised Learning — 52 citations into it
- Optimization & Training — 12 citations into it
- Efficiency & Compression — 10 citations into it
- Reinforcement Learning — 9 citations into it
- Signal Processing — 7 citations into it
Whom Ruiwen Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Marc'Aurelio Ranzato
- Ilya Sutskever
- Arslan Chaudhry
- Oriol Vinyals
Who trusts Ruiwen Li overall
- Da-Wei Zhou
- Hongwei Yan
- Yaqian Zhang
- Liyuan Wang
- Yiduo Guo
- Yanan Gu
- Zifeng Wang
- Gobinda Saha
- Yujie Wei
- Qiwen Wang
Papers from Ruiwen Li's perspective
Ordered by how strongly the researchers Ruiwen Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge