Yangwen Yu

According to our database, Yangwen Yu authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

UNI-CAL: A Universal AI-Driven Model for Air Pollutant Sensor Calibration With Domain-Specific Knowledge Inputs.

Yang Han, Shiguang Song, Yangwen Yu, Jacqueline C. K. Lam, Victor O. K. Li

IEEE Access, 2024

2023

GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery.

Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam, Kelvin Chan

IEEE Trans. Big Data, October, 2023

Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network.

Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam

IEEE Trans. Big Data, February, 2023

2022

Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder.

Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam

IEEE Trans. Big Data, 2022

2020

A Novel Interpolation-SVT Approach for Recovering Missing Low-Rank Air Quality Data.

Yangwen Yu, James J. Q. Yu, Victor O. K. Li, Jacqueline C. K. Lam

IEEE Access, 2020

2019

Multi-Type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring.

Chenxi Sun, Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam

Sensors, 2019

2018

Optimal Multi-type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring.

Chenxi Sun, Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam

Proceedings of the IEEE International Smart Cities Conference, 2018

2017

Low-rank singular value thresholding for recovering missing air quality data.

Yangwen Yu, James Jian Qiao Yu, Victor O. K. Li, Jacqueline C. K. Lam

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017