Iou-Jen Liu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #25,993 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Reinforcement Learning — 8 citations into it
• Model Architectures — 5 citations into it

Whom Iou-Jen Liu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Volodymyr Mnih
5. Yoshua Bengio
6. Yann LeCun
7. Adam Coates
8. Andrei A. Rusu
9. Jimmy Ba
10. Andrew Y. Ng

Who trusts Iou-Jen Liu overall

1. Lin Wang
2. Jianping Gou
3. Tao Lin
4. Yang Shu
5. Kuk-Jin Yoon
6. Baosheng Yu
7. Lingjing Kong
8. Zhi Kou

Papers from Iou-Jen Liu's perspective

Ordered by how strongly the researchers Iou-Jen Liu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Knowledge Flow: Improve Upon Your Teachers (2019) — 66 citations