Taikang Yuan

According to our database, Taikang Yuan authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge.

Wuxin Wang, Weicheng Ni, Lilan Huang, Tao Hao, Ben Fei, Shuo Ma, Taikang Yuan, Yanlai Zhao, Kefeng Deng, Xiaoyong Li, Boheng Duan, Lei Bai, Kaijun Ren

CoRR, July, 2025

2024

The Remote Effects of Typhoons on the Cold Filaments in the Southwestern South China Sea.

Zezheng Zhao, Shengmu Yang, Huipeng Wang, Taikang Yuan, Kaijun Ren

Remote. Sens., September, 2024

Phase-Space-Guided Deep Learning For Time Series Forecasting.

Jingze Lu, Kaijun Ren, Taikang Yuan, Wuxin Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction.

Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu, Xiang Wang, Xiaoyong Li, Kaijun Ren

Remote. Sens., July, 2023

GSWR-DARN: GNSS-R Sea Surface Wind Speed Retrieval Based on Data Augmentation and Residual Network.

Zhenxiong Zhou, Boheng Duan, Kaijun Ren, Taikang Yuan

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature.

Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li

Proceedings of the IEEE International Conference on Data Mining, 2022