Furui Liu

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Signal Processing — 9 citations into it
• Causal Inference & Discovery — 8 citations into it
• Transportation — 5 citations into it

Whom Furui Liu trusts overall

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

1. Jing Yuan
2. Diederik P. Kingma
3. Yoshua Bengio
4. Aapo Hyvärinen
5. John D. Lafferty
6. Bernhard Schölkopf
7. Geoffrey E. Hinton
8. Yu Zheng
9. Philemon Brakel
10. Justin B. Kinney

Who trusts Furui Liu overall

1. Yu Zheng
2. Ying Wei
3. Shengdong Du
4. Jinsong Wu
5. Jiachen Zhao
6. Yuzhe Yang
7. Matthew James Vowels
8. Billy Pik Lik Lau

Papers from Furui Liu's perspective

Ordered by how strongly the researchers Furui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models (2020) — 407 citations
• U-Air: when urban air quality inference meets big data (2013) — 974 citations