Liang Zhao

Computational Mechanics · with Chen · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 12 citations into it
• Sociology and Political Science — 9 citations into it
• Epidemiology — 7 citations into it

Whom Liang Zhao trusts overall

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

1. Thomas Blumensath
2. Alessio Signorini
3. Pinghua Gong
4. Charu C. Aggarwal
5. Jianshu Weng
6. M. Davies
7. Xiaofeng Wang
8. Jianhui Chen
9. Takeshi Sakaki
10. Johan Bollen

Who trusts Liang Zhao overall

1. Gowtham Atluri
2. Yu Zhang
3. Anuj Karpatne

Papers from Liang Zhao's perspective

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

Their papers

• Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting (2017) — 44 citations
• Multi-Task Learning for Spatio-Temporal Event Forecasting (2015) — 156 citations