Yanbin Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Representation & Self-Supervised Learning — 29 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 8 citations into it
• Reinforcement Learning — 6 citations into it

Whom Yanbin Liu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Sergey Ioffe
5. Yoshua Bengio
6. Ilya Sutskever
7. Kaiming He
8. Oriol Vinyals
9. Jimmy Ba
10. Christian Szegedy

Who trusts Yanbin Liu overall

1. Han-Jia Ye
2. Hongwei Wang
3. Qianru Sun
4. Yuqing Hu
5. Chen Xing
6. Jongmin Kim
7. Zhen Wang
8. Jian Zhang
9. Rui Hou
10. Kaixin Wang

Papers from Yanbin Liu's perspective

Ordered by how strongly the researchers Yanbin Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning (2018) — 758 citations
• Transductive Propagation Network for Few-shot Learning (2018) — 81 citations