Zhoujian Cao

According to our database, Zhoujian Cao authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

WaveFormer: transformer-based denoising method for gravitational-wave data.

He Wang, Yue Zhou, Zhoujian Cao, Zong-Kuan Guo, Zhixiang Ren

Mach. Learn. Sci. Technol., March, 2024

GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis.

Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren

SoftwareX, 2024

2023

Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer.

Ruijun Shi, Yue Zhou, Tianyu Zhao, Zhoujian Cao, Zhixiang Ren

CoRR, 2023

DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals.

Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren

CoRR, 2023

2022

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.

Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, Eliu A. Huerta, Chris Messenger, Frank Ohme

CoRR, 2022

Space-based gravitational wave signal detection and extraction with deep neural network.

Tianyu Zhao, Ruoxi Lyu, Zhixiang Ren, He Wang, Zhoujian Cao

CoRR, 2022

Sampling with prior knowledge for high-dimensional gravitational wave data analysis.

He Wang, Zhoujian Cao, Yue Zhou, Zong-Kuan Guo, Zhixiang Ren

Big Data Min. Anal., 2022

2020

Improved deep learning techniques in gravitational-wave data analysis.

Heming Xia, Lijing Shao, Junjie Zhao, Zhoujian Cao

CoRR, 2020