Guangyuan Kan

According to our database, Guangyuan Kan authored at least 7 papers between 2017 and 2023.

Collaborative distances:

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

2023

An improved SCE-UA algorithm and its application in parameter calibration of the Xin'anjiang model.

Guangyuan Kan, Yu Hou, Xichen Liu, Ke Liang

Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023

2022

Evaluating Remote Sensing Precipitation Products Using Double Instrumental Variable Method.

Zhihao Wei, Xunjian Long, Yingying Gai, Zekun Yang, Xinxin Sui, Xi Chen, Guangyuan Kan, Wenjie Fan, Yaokui Cui

IEEE Geosci. Remote. Sens. Lett., 2022

2020

Heterogeneous parallel computing accelerated generalized likelihood uncertainty estimation (GLUE) method for fast hydrological model uncertainty analysis purpose.

Guangyuan Kan, Xiaoyan He, Liuqian Ding, Jiren Li, Yang Hong, Ke Liang

Eng. Comput., 2020

2018

A novel hybrid data-driven model for multi-input single-output system simulation.

Guangyuan Kan, Xiaoyan He, Jiren Li, Liuqian Ding, Dawei Zhang, Tianjie Lei, Yang Hong, Ke Liang, Depeng Zuo, Zhenxin Bao, Mengjie Zhang

Neural Comput. Appl., 2018

2017

A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach.

Guangyuan Kan, Tianjie Lei, Ke Liang, Jiren Li, Liuqian Ding, Xiaoyan He, Haijun Yu, Dawei Zhang, Depeng Zuo, Zhenxin Bao, Mark Amo-Boateng, Youbing Hu, Mengjie Zhang

IEEE Trans. Parallel Distributed Syst., 2017

A new hybrid data-driven model for event-based rainfall-runoff simulation.

Guangyuan Kan, Jiren Li, Xingnan Zhang, Liuqian Ding, Xiaoyan He, Ke Liang, Xiaoming Jiang, Minglei Ren, Hui Li, Fan Wang, Zhongbo Zhang, Youbing Hu

Neural Comput. Appl., 2017

DD-L1D: Improving the Decoupled L1D Efficiency for GPU Architecture.

Weiguang Yang, Yuxin Wang, Yulong Yu, Guangyuan Kan, He Guo

Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017