科 系：人工智能系

学历职称：副教授

导 师：硕士研究生导师

研究方向：海洋探测、信号处理与建模、图像识别、大数据与人工智能

联系方式：hqs@hainanu.edu.cn

基本情况：黑龙江哈尔滨，博士，博士后，副教授

通讯地址：海南大学海洋智能装备实验室

学习和工作经历：

2021年10月至今 kb体育app官网 副教授

2019年-2021年 哈尔滨工业大学航天学院 师资博后（讲师）

硕士招生专业：信息与通信工程、电子信息

主持或参与科研项目：

1. 海南省自然科学基金青年基金，基于多分辨分析的自适应水声探测方法研究，2022.04-2025.03

2. 黑龙江省博士后面上项目，高速铁路钢轨伤损在线智能检测关键技术研究，2021.01-2023.12

3. 国家自然科学基金重点项目，高铁钢轨伤损实时智能检测的关键技术研究，2021.01-2025.12

学术成果（可包含论文、专利、著作等）：

1. Hao Qiushi*, Shen Yi, Wang Yan, Liu Jian. An adaptive extraction method for rail crack acoustic emission signal under strong wheel-rail rolling noise of high-speed railway [J]. Mechanical Systems and Signal Processing, 2021, 154(1075 46). (SCI, IF=6.471, 中科院一区Top期刊)

2. Hao Qiushi, Zhang Xin, Wang Yan, Shen Yi, Viliam Makis. A novel rail defect detection method based on undecimated lifting wavelet packet transform and Shannon entropy-improved adaptive line enhancer [J]. Journal of Sound and Vibration, 2018, 425: 208-220. (SCI, IF= 3.429, 中科院二区Top期刊)

3. Hao Qiushi, Shen Yi, Wang Yan, Zhang Xin. A Fractal Model of Acoustic Emission Signals in Sliding Friction [J]. Tribology Letters, 2019, 67(1): 31. (SCI, IF= 2.566, 中科院二区期刊)

4. Hao Qiushi, Zhang Xin, Wang Kangwei, Shen Yi, Wang Yan. A signal-adapted wavelet design method for acoustic emission signals of rail cracks [J]. Applied Acoustics, 2018, 139: 251-258. (SCI, IF= 2.440, 中科院二区期刊)

5. Hao Qiushi, Shen Yi, Wang Yan, Zhang Xin. Detection method based on Kalman filter for high speed rail defect AE signal on wheel-rail rolling rig [J]. Nondestructive Testing and Evaluation, 2018, 33(1): 75-91. (SCI, IF= 1.424, 中科院三区期刊)

6. Hao Qiushi, Wang Yan, Shen Yi, Zhang Xin. De-noising of rail crack AE signal based on wavelet modulus maxima [C]. 2015 IEEE International Instrumentation and Measurement Technology Conference, Pisa, 2016: 675-680. (EI, 国际会议论文)

7. Hao Qiushi, Shen Yi, Wang Yan, Zhang Xin, Liu Jian. Fractal description and fractal dimension estimation of the wheel-rail rolling noise in high-speed railway [C]. Chinese Journal of Acoustics. 2020, 39(4): 526-540. (EI, 国内权威期刊《声学学报》精选英文期刊)

8. Zhang Xin, Hao Qiushi, Wang Kangwei, Wang Yan, Shen Yi, Hu Hengshan. An investigation on acoustic emission detection of rail crack in actual application by chaos theory with improved feature detection method [J]. Journal of Sound and Vibration, 2018, 436: 165-182. (SCI, IF= 3.429, 中科院二区Top期刊)

9. Wang Kangwei, Hao Qiushi, Zhang Xin, Tang Zhiyi, Wang Yan, Shen Yi. Blind source extraction of acoustic emission signals for rail cracks based on ensemble empirical mode decomposition and constrained independent component analysis [J]. Measurement. 2020, 157: 1-16. (SCI, IF=3.364, 中科院二区期刊)

10. Wang Kangwei, Zhang Xin, Hao Qiushi, Wang Yan, Shen Yi. Application of improved least-square generative adversarial networks for rail crack detection by AE technique [J]. Neurocomputing, 2019, 332: 236-248. (SCI, IF=3.241, 中科院二区Top期刊)

11. Zhang Xin, Tang Zhiyi, Hao Qiushi, Wang Yan, Shen Yi, Hu Hengshan. AE detection of crack signal in tank shell using the multi-sensors with adaptive weighted fusion method [C]. 2018 IEEE International Instrumentation and Measurement Technology Conference. (EI, 国际会议论文)

12. Zhang Xin, Zou Zhongxian, Wang Kangwei, Hao Qiushi, Wang Yan, Shen Yi, Hu Hengshan. A new rail crack detection method using LSTM network for actual application based on AE technology [J]. Applied Acoustics, 2018, 142: 78-86. (SCI, IF= 2.440, 中科院二区期刊)

13. 国际专利，授权，Shen Yi, Hao Qiushi, Wang Yan, Zhang Xin, Wang Kangwei, Lou Yunjiang. A signal enhancer and method for weak and blind signal denoising and extracting: European Patent. EP19193785.3

获奖情况：

1. 哈尔滨工业大学优秀博士论文