Zhaotang Liang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 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 Zhaotang Liang trusts overall

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

1. Gérard Biau
2. Evan Shelhamer
3. Tarn Duong
4. Bolei Zhou

Who trusts Zhaotang Liang overall

1. Filip Biljecki

Papers from Zhaotang Liang's perspective

Ordered by how strongly the researchers Zhaotang Liang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Latent Dirichlet Allocation
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A human-machine adversarial scoring framework for urban perception assessment using street-view images (2019) — 384 citations
• Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2017) — 458 citations