Office:  Room 312, Physics Building, Siwangting Road No.180, Yangzhou, Jiangsu Province, China

E-mail:  liuchang@yzu.edu.cn

Research Interest: gravitational wave and data analysis

Education:

2017 - 2021: Institute of Theoretical Physics, Chinese Academy of Sciences, Ph.D.

2013 - 2016: Nankai University, M.Sc.

2009 - 2013: Lanzhou University, B.Sc.

Experience:

2021 - 2023: Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Postdoc.

2018 - 2019: Montana State University, Visiting PhD Student.

Selected Publications:

[1] Wen-Hong Ruan, He Wang, Chang Liu, and Zong-Kuan Guo. Parameter inference for coalescing massive black hole binaries using deep learning. Universe, 9:407, 2023.

[2] Chang Liu, Wen-Hong Ruan, and Zong-Kuan Guo. Confusion noise from Galactic binaries for Taiji. Physical Review D, 107(6):064021, 2023.

[3] Wen-Hong Ruan, He Wang, Chang Liu, and Zong-Kuan Guo. Rapid search for massive black hole binary coalescences using deep learning. Physics Letters B, 841:137904, 2023.

[4] Chang Liu, Wen-Hong Ruan, and Zong-Kuan Guo. Constraining gravitational-wave polarizations with Taiji. Physical Review D, 102(12):124050, 2020.

[5] Wen-Hong Ruan, Chang Liu, Zong-Kuan Guo, Yue-Liang Wu, and Rong-Gen Cai. The LISA-Taiji network. Nature Astronomy, 4:108–109, 2020.

[6] Wen-Hong Ruan, Chang Liu, Zong-Kuan Guo, Yue-Liang Wu, and Rong-Gen Cai. The LISA-Taiji network: precision localization of massive black hole binaries. Research, 2021(6014164), 2019.

[7] Travis Robson, Neil J. Cornish, and Chang Liu. The construction and use of LISA sensitivity curves. Classical and Quantum Gravity, 36(10):105011, 2019.

[8] Chang Liu, Yan-Gang Miao, Yu-Mei Wu, and Yu-Hao Zhang. Self-regular black holes quantized by means of an analogue to hydrogen atoms. Advances in High Energy Physics, 2016:5982482, 2016.