Penghua Liu

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Information Systems — 5 citations into it

Whom Penghua Liu trusts overall

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

1. Gérard Biau

Papers from Penghua Liu's perspective

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

1. Latent Dirichlet Allocation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Random Forests
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A human-machine adversarial scoring framework for urban perception assessment using street-view images (2019) — 384 citations
• The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images (2019) — 190 citations
• Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2017) — 458 citations