Ganglin Tian

According to our database, Ganglin Tian authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Quantile Regression, Variational Autoencoders, and Diffusion Models for Uncertainty Quantification: A Spatial Analysis of Sub-seasonal Wind Speed Prediction.

Ganglin Tian, Anastase Alexandre Charantonis, Camille Le Coz, Alexis Tantet, Riwal Plougonven

CoRR, October, 2025

2024

Improving sub-seasonal wind-speed forecasts in Europe with a non-linear model.

Ganglin Tian, Camille Le Coz, Anastase Alexandre Charantonis, Alexis Tantet, Naveen Goutham, Riwal Plougonven

CoRR, 2024

2023

A hybrid ensemble method with negative correlation learning for regression.

Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia

Mach. Learn., October, 2023

2022

Temporal and Spatial Online Integrated Calibration for Camera and LiDAR.

Shouan Wang, Xinyu Zhang, Guipeng Zhang, Yijin Xiong, Ganglin Tian, Shichun Guo, Jun Li

CoRR, 2022

Temporal and Spatial Online Integrated Calibration for Camera and LiDAR.

Shouan Wang, Xinyu Zhang, Guipeng Zhang, Yijin Xiong, Ganglin Tian, Shichun Guo, Jun Li, Pingping Lu, Junqing Wei, Lei Tian

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution.

Binh Minh Nguyen, Ganglin Tian, Minh-Triet Vo, Aurélie Michel, Thomas Corpetti, Carlos Granero-Belinchón

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Enhancing the Diversity of Predictions Combination by Negative Correlation Learning.

Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia

CoRR, 2021