刘立帅
副教授，硕士生导师
E-mail：lishuai.liu@ecust.edu.cn
办公电话：021-64253181
通讯地址：上海市徐汇区梅陇路130号
招生专业：机械工程[080200]，动力工程及工程热物理[080700]，机械[085500]
欢迎对 机器学习 & 智能成像 等方向感兴趣的同学加入研究团队攻读学位！
个人简介
清华大学电气工程博士，加拿大多伦多大学（University of Toronto）先进扩散波与光声技术中心访问学者。2020年11月至今任职华东理工大学从事教学科研工作，副教授，硕士生导师。主要从事多源感知信息机器学习与智能成像技术研究，发表学术论文40余篇，参与制定国家标准4项。入选中国科协青年人才托举工程（2023）、华东理工大学青年英才A类（2022）、上海市晨光学者（2021）、上海市青年科技英才扬帆计划（2021）。主持国家自然科学基金面上及青年项目、国家重点研发计划项目子课题 、上海市自然科学基金、上海市教委科委人才项目等多项国家/省部级科研项目。担任IEEE TII、IEEE TIM、Measurement、CBM、NDT&E、IEEE Sensors、JAP、RSI、IPT、IET GTD、IET SMT等多个SCI期刊审稿人，上海市声学学会理事、中国无损检测学会新技术专委会委员、全国焊缝试验和检验标准化技术委员会委员、全国无损检测标准化技术委员会技术专家。
教育背景：
2017.09-2020.10 清华大学 电机工程与应用电子技术系 博士
2019.09-2020.04 多伦多大学 机械与工业工程系 访问学者
2015.09-2017.06 清华大学 电机工程与应用电子技术系 硕士
2011.09-2015.06 武汉大学 电气工程学院 本科
研究方向
围绕航空航天、新能源与核电、氢燃料电池等高端装备健康状态精准感知需求，重点开展多源感知信息机器学习与智能成像技术的研究。具体研究方向包括：
机器学习：基于深度学习的装备智能运维及寿命预测；面向工业智能的小样本学习/生成式学习
智能成像：图像增强重建及超分辨成像方法；基于多源感知信息的结构层析反演与三维成像
教学科研情况
承担科研项目：
[1] 国家自然科学基金面上项目，主持
[2] 国家自然科学基金青年项目，主持
[3] 国家重点研发计划子课题，主持
[4] 中国科协青年人才托举工程项目，主持
[5] 上海市教委晨光计划项目，主持
[6] 上海市青年科技英才扬帆计划，主持
[7] 上海市自然科学基金面上项目，主持
[8] 中央一流引导专项-“双一流”建设项目，主持
教学情况：
本科生课程《人工智能技术及应用》（60学时，智能制造专业核心课程）、《机器学习概论》（32学时）
学生培养：
指导学生获华东理工大学优秀毕业生1人次，优秀毕业论文2人次
荣誉奖励
中国科协青年人才托举工程
中国石化工业联合会科技进步奖一等奖
IEEE TIM Outstanding Reviewer
全国无损检测标准化技术委员会优秀标准化工作者
中国电机工程学报高影响力论文奖
上海高校青年科研骨干培养“晨光计划”
上海市青年科技英才“扬帆计划”
华东理工大学青年英才A类
清华大学优秀学位论文
学术成果
代表性论文：
[1] Haiming Xu, Lishuai Liu*, Xuan Li, Siyuan Peng, Yanxun Xiang*, and Fu-Zhen Xuan. Nonlinear Lamb wave phased array for revealing micro-damage based on the second harmonic reconstruction. Mechanical Systems and Signal Processing, 2024, 220: 111692. (SCI, IF = 8.4)
[2] Peng Wu, Lishuai Liu*, Ailing Song, Yanxun Xiang*, and Fu-Zhen Xuan. A data augmentation approach for improving data-driven nonlinear ultrasonic characterization based on generative adversarial U-net. Applied Acoustics, 2024, 225: 110208. (SCI, IF = 3.4)
[3] Haiming Xu, Lishuai Liu*, Xuan Li, Yanxun Xiang*, and Fu-Zhen Xuan. Wavefield imaging of nonlinear ultrasonic Lamb waves for visualizing fatigue micro-cracks. Ultrasonics, 2024, 138: 107214. (SCI, IF = 4.2)
[4] Zhiyuan Zhao, Lishuai Liu*, Wen Liu, Da Teng, Yanxun Xiang*, and Fu-Zhen Xuan. Discretized tensor-based model of total focusing method: A sparse regularization approach for enhanced ultrasonic phased array imaging. NDT&E International, 2024, 141(5): 102987. (SCI, IF = 4.2)
[5] Yanxin Tu, Lishuai Liu*, Bin Cao*, Hongwei Mei, and Liming Wang. Infrared-Induced Laser Shearography: Enhanced Multimodal Features Recognition for Interfacial Defects in SIR/GFRP Composite Structures. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 6005313. (SCI, IF = 5.6)
[6] Lishuai Liu, Wen Liu, Da Teng, Yanxun Xiang*, and Fu-Zhen Xuan. A multiscale residual U-net architecture for super-resolution ultrasonic phased array imaging from full matrix capture data. Journal of the Acoustical Society of America, 2023, 154(4): 2044-2054. (SCI, IF = 2.4)
[7] Xuan Li, Lishuai Liu*, Haiming Xu, Zheng Hu, Yanxun Xiang*, and Fu-Zhen Xuan. Lamb wave phased array imaging based on phase-amplitude compounding algorithm. Mechanical Systems and Signal Processing, 2023, 205: 110882. (SCI, IF = 8.4)
[8] Haiming Xu, Lishuai Liu*, Jichao Xu, Yanxun Xiang*, and Fu-Zhen Xuan. Deep learning enables nonlinear Lamb waves for precise location of fatigue crack. Structural Health Monitoring, 2024, 23(1): 77-93. (SCI, IF = 6.6)
[9] Peng Wu, Lishuai Liu*, Yanxun Xiang*, and Fu-Zhen Xuan. Data-driven time-frequency analysis of nonlinear Lamb waves for characterization of grain size distribution. Applied Acoustics, 2023, 207: 109367. (SCI, IF = 3.4)
[10] Lishuai Liu, Peng Wu, Yanxun Xiang*, and Fu-Zhen Xuan. Autonomous characterization of grain size distribution using nonlinear Lamb waves based on deep learning. Journal of the Acoustical Society of America, 2022, 152(3): 1913-1921. (SCI, IF = 2.4)
[11] Lishuai Liu, Di Sun, Yanxun Xiang*, and Fu-Zhen Xuan. Deep learning-based solvability of underdetermined inverse problems in nonlinear ultrasonic characterization of micro damages. Journal of Applied Physics, 2022, 132(14): 144901. (SCI, IF = 3.2, Featured Article, Highlighted in AIP Scilight at https://doi.org/10.1063/10.0014855)
[12] Lishuai Liu, Chenjun Guo, Yanxun Xiang*, Yanxin Tu, Liming Wang, and Fu-Zhen Xuan. A Semisupervised Learning Framework for Recognition and Classification of Defects in Transient Thermography Detection. IEEE Transactions on Industrial Informatics, 2022, 18(4): 2632-2640. (SCI, IF = 12.3)
[13] Lishuai Liu, Chenjun Guo, Yanxun Xiang*, Yanxin Tu, Liming Wang, and Fu-Zhen Xuan. Photothermal Radar Shearography: A Novel Transient-Based Speckle Pattern Interferometry for Depth-Tomographic Inspection. IEEE Transactions on Industrial Informatics, 2022, 18(7): 4352-4360. (SCI, IF = 12.3)
[14] Lishuai Liu, Andreas Mandelis*, Alexander Melnikov, and Liming Wang. Comparative analysis of single- and multiple-frequency thermal wave radar imaging inspection of glass fiber reinforced polymer (GFRP). International Journal of Extreme Manufacturing, 2022, 4(2): 025201. (SCI, IF = 14.7)
[15] Lishuai Liu, Chenjun Guo, Yanxun Xiang*, Yanxin Tu, Hongwei Mei, Liming Wang, and Fu-Zhen Xuan. Health Monitoring of RTV Silicone Rubber Coating on Insulators Based on Multimode Features of Active Infrared Thermography. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 4502609. (SCI, IF = 5.6)
[16] Xianzhi Wang, Lishuai Liu*. Concentric diversity entropy: A high flexible feature extraction tool for identifying fault types with different structures. Mechanical Systems and Signal Processing, 2022, 171:108934. (SCI, IF = 8.4)
[17] Yanxin Tu, Hongwei Mei, Lishuai Liu*, Zekai Shen, Chenjun Guo, and Liming Wang*. Transient thermal pattern separation and detection of conductive defects in composite insulators using eddy current pulsed thermography. NDT & E International, 2022, 129(5): 102653. (SCI, IF = 4.2)
[18] Yanxin Tu, Hongwei Mei, Lishuai Liu*, Rui Sun, Chenjun Guo, Zekai Shen, and Liming Wang. Distance Effect in Transient Thermography for Internal Defects Detection in Composites. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3525712. (SCI, IF = 5.6)
[19] Chenjun Guo, Lishuai Liu*, Hongwei Mei, Yanxin Tu, and Liming Wang. Nondestructive Evaluation of Composite Bonding Structure used in Electrical Insulation Based on Active Infrared Thermography. Polymers, 2022, 14(16): 3373. (SCI, IF = 5.0)
[20] Lishuai Liu, Hongwei Mei, Chenjun Guo, Yanxin Tu, and Liming Wang*. Pixel-level Classification of Pollution Severity on Insulators Using Photothermal Radiometry and Multi-class Semi-supervised Support Vector Machine. IEEE Transactions on Industrial Informatics, 2021, 17(1): 441-449. (SCI, IF = 12.3)
[21] Lishuai Liu, Chenjun Guo, Yanxin Tu, Hongwei Mei, and Liming Wang*. Differential Evolution Fitting-Based Optical Step Phase Thermography for Micron Thickness Measurement of Atmospheric Corrosion Layer. IEEE Transactions on Industrial Informatics, 2020, 16(8): 5213-5222. (SCI, IF = 12.3)
[22] Lishuai Liu, Hongwei Mei, Chenjun Guo, Yanxin Tu, Liming Wang*, and Jianben Liu. Remote Optical Thermography Detection Method and System for Silicone Polymer Insulating Materials Used in Power Industry. IEEE Transactions on Instrumentation and Measurement, 2020, 69(8): 5782-5790. (SCI, IF = 5.6)
[23] Lishuai Liu, Liming Wang, Chenjun Guo, Hongwei Mei*, and Chenlong Zhao. Detecting Defects in Porcelain Post Insulator Coated with Room Temperature Vulcanized Silicone Rubber by Pulsed Thermography. IEEE Transactions on Instrumentation and Measurement, 2019, 68(1): 225-233. (SCI, IF = 5.6)
[24] Lishuai Liu, Chenjun Guo, Liming Wang*, and Hongwei Mei. Nondestructive Visualization and Quantitative Characterization of Defects in Silicone Polymer Insulators with Laser Speckle Imaging. IEEE Sensors Journal, 2019, 19(15): 6508-6516. (SCI, IF = 4.3)
完整论文列表详见：https://www.researchgate.net/profile/Lishuai-Liu