部分论文著作：

[1] Shen, Qifan; Luo, Xinwei ; Chen, Long ;A deep learning based iterative denoising algorithm for multiple frequencylines recovery. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Volume159,Part A, 111601, November 2025

[2] Chen, Lu; Luo, Xinwei ; Zhou, Hanlu;Shen, Qifan; Chen, Long ; Huan, Chuanming. Underwater acoustic multi-targetrecognition based on channel attention mechanism. Ocean Engineering, JAN 1 2025,Volume315, 119841

[3] Jiang D, Luo X, Shen Q. Frequency LineDetection in Spectrograms using a Deep Neural Network with Attention[J]. Journalof the Acoustical Society of America, 2024, 156(5): 3204–3216.

[4] Zhou, HL; Luo, XW and Chen, L. The weakmodulation line spectrum enhancement and detection method for ship radiatednoise in the absence of prior information. Applied Acoustics, 2024,226(202)110211.

[5] Chen, L; Luo, XW and Zhou, HL. Aship-radiated noise classification method based on domain knowledge embeddingand attention mechanism. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,Volume127, PartB, 107320, JAN 2024

[6] Sun, BG., Luo, XW. Underwater acoustictarget recognition based on automatic feature and contrastive coding. IET RadarSonar Navig. 1–9(2023). IET RADAR SONAR AND NAVIGATION, 17 (8) ,pp.1277-1285,2023

[7] Xinwei Luo; Lu Chen; Hanlu Zhou; HongliCao. A Survey of Underwater Acoustic Target Recognition Methods Based onMachine Learning. Journal of Marine Science and Engineering, 2023, 11(2): 384

[8] 罗昕炜, 李磊, 沈子涵. 基于动态参数HMM的水声信号线谱轨迹提取方法.电子与信息学报.2022. doi: 10.11999/JEIT211374

[9] Luo Xinwei, Liu Ting, Huang Ming,XuXiaogang, Cao Hongli, Bai Xianghua, Xu Dayong. Speech detection methodbasedon a multi-window analysis. Journal of Southeast University(EnglishEdition), 2021, 37 (4): 343-349.

[10] Xinwei Luo, MinghongZhang, Ting Liu,Ming Huang and Xiaogang Xu. An Underwater Acoustic Target Recognition MethodBased on Spectrograms with Different Resolutions. J. Mar. Sci. Eng. 2021,9(11), 1246.

[11] Xinwei Luo, Yulin Feng, MinghongZhang.An Underwater Acoustic Target Recognition Method Based on CombinedFeature WithAutomatic Coding and Reconstruction. IEEE ACCESS,2021(9):63841-63854.

[12] Xinwei Luo,Zihan Shen. Aspace-frequency joint detection and tracking method forline-spectrum componentsof underwater acoustic signals. Applied Acoustics, Volume172, 15 January 2021,107609

[13] Xinwei Luo, YulinFeng. An UnderwaterAcoustic Target Recognition Method Based on RestrictedBoltzmann Machine.SENSORS 2020, 20, 5399.

[14] Luo, Xinwei ;Shen, Zihan. A sensingand tracking algorithm for multiple frequency linecomponents in underwateracoustic signals. SENSORS. 2019,19,4866

[15] 方世良;杜栓平;罗昕炜;韩宁;徐晓男.水声目标特征分析与识别技术,中国科学院院刊(Bulletin ofthe Chinese Academy of Sciences), 2019,34(3):297-305

[16] 罗昕炜，方世良、螺旋桨噪声中轴频的闭环检测方法、东南大学学报、2013、43(6)、1168-1173

[17] Luo Xin-Wei,Liu Wen-Sheng, FangShi-Liang. A modeling method of underwater propellerradiated noise. JOURNALOF   NANJINGUNIVERSITY.2012,48(5):632-639

[18] 罗昕炜, 方世良. 基于HHT的宽带幅度非平稳调制信号的特征提取. 信号处理, 2011,27(6):950-955

部分发明专利：

罗昕炜, 叶武, 方世良, 王晓燕. 一种基于序贯聚类的时频线谱检测方法. 201810811825.X

罗昕炜, 沈子涵, 方世良. 一种基于动态长度帧处理的分数时延方法. 201910242121.X

罗昕炜, 饶柏斌, 方世良. 一种水声目标机动状态的辐射噪声仿真方法. 201910361998.0

罗昕炜, 方世良. 一种多尺度噪声功率谱线谱检测方法. 201910565539.4

罗昕炜, 方世良, 王晓燕. 基于经验模态的空化噪声调制特征提取方法201110087775.3

罗昕炜, 方世良, 王晓燕, 安良, 李霞噪声功率谱线谱检测方法201010278983.

武其松,徐萍,罗昕炜,方世良.一种基于组稀疏结构的水声目标辐射噪声调制谱重构方法. 201810364540.6

方世良, 徐雅南, 罗昕炜. 一种开放式阵列信号的仿真方法. 201410166921.5