Last Update: Jul 19, 2025
Publications
The dates are based on the publication time.
If unavailable, the submission date on arXiv is used instead.
| Published | Preprint | Total | |
|---|---|---|---|
| First author | 5 | 1 | 6 |
| Non-first author | 1 | 2 | 3 |
| Total | 6 | 3 | 9 |
Publications are categorized and listed in reversed chronological order.
(*: corresponding author)
2025
Effect of kick velocity on gravitational wave detection of binary black holes with space- and ground-based detectors
Jie Wu
,
Mengfei Sun
,
Xianghe Ma
,
Xiaolin Liu
, et al.
(Jul 18, 2025)
Conditional Autoencoder for Generating Binary Neutron Star Waveforms with Tidal and Precession Effects
Mengfei Sun
,
Jie Wu
,
Jin Li*
,
Brendan Mccane
, et al.
(Mar 26, 2025)
Identification of Stochastic Gravitational Wave Backgrounds from Cosmic String Using Machine Learning
Xianghe Ma
,
Borui Wang
,
Nan Yang
,
Jin Li*
, et al.
(Feb 17, 2025)
Parallel manipulation of multiple ink droplets via near-infrared light on lubricant infused surface
(Responsible for data processing and visualization)
Yalin Hu
,
Jie Wu
,
Haiyan Luo
,
Guanqi Su
, et al.
(Jan 13, 2025)
2024
Constraints and detection capabilities of GW polarizations with space-based detectors in different TDI combinations
Jie Wu
,
Mengfei Sun
,
Jin Li*
(Nov 6, 2024)
Prospects of constraining on the polarizations of gravitational waves from binary black holes using space- and ground-based detectors
Jie Wu
,
Jin Li*
(Oct 22, 2024)
Comparison and application of different post-Newtonian models for inspiralling stellar-mass binary black holes with space-based GW detectors
Jie Wu
,
Jin Li*
,
Xiaolin Liu
,
Zhoujian Cao
(May 7, 2024)
2023
Subtraction of the confusion foreground and parameter uncertainty of resolvable galactic binaries on the networks of space-based gravitational-wave detectors
Jie Wu
,
Jin Li*
(Dec 18, 2023)
Application of Newtonian approximate model to LIGO gravitational wave data processing
(Suggested by editors)
Jie Wu
,
Jin Li*
,
Qing-Quan Jiang*
(Sep 1, 2023)
Degree Thesis
An Analysis of the LIGO Gravitational Waves Data Based on Newtonian Approximate Model
(Excellent Graduation Thesis)
Jie Wu
(May 2022, advisor: Assoc. Prof. Di Wu)
I’m hoping that by listing these, it’ll be easier for me to find them later on. (￢_￢)
