Liuyu Xiang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 159 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #12,342 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 37 citations into it
• Optimization & Training — 11 citations into it

Whom Liuyu Xiang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Graves
5. Alex Krizhevsky
6. Jia Deng
7. Ross B. Girshick
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Liuyu Xiang overall

1. Lin Wang
2. Xin Wang
3. Zhisheng Zhong
4. Shaoyu Zhang
5. Xudong Wang
6. Kuk-Jin Yoon
7. Yudong Chen
8. Song Tian
9. Jiequan Cui
10. Chen Chen

Papers from Liuyu Xiang's perspective

Ordered by how strongly the researchers Liuyu Xiang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification (2020) — 345 citations
• Incremental Few-Shot Learning for Pedestrian Attribute Recognition (2019) — 33 citations