Xiaojing Yao

Environmental Pollution · 2017–2019

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

Whom Xiaojing Yao trusts overall

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

1. Sepp Hochreiter
2. Ronald J. Williams

Papers from Xiaojing Yao's perspective

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

1. Long Short-Term Memory
2. An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories
3. The Utility Driven Dynamic Error Propagation Network
4. Time series analysis, forecasting and control
5. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. (Journal of the American Medical Association (JAMA))
6. Social LSTM: Human Trajectory Prediction in Crowded Spaces
7. Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
8. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
9. U-Air: when urban air quality inference meets big data
10. Deep learning architecture for air quality predictions

Their papers

• A novel spatiotemporal convolutional long short-term neural network for air pollution prediction. (2019) — 386 citations
• Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. (2017) — 578 citations