侯榕榕 - 哈尔滨工业大学

个人简介

侯榕榕，籍贯辽宁，1991年生，中共党员，教授，博士生导师。 2019年3月于香港理工大学获得博士学位，随后任香港理工大学博士后研究员。目前从事结构损伤识别、结构温度效应分析、贝叶斯不确定性分析、机器学习等方面的研究。主持香港理工大学资助博士后项目1项，国家自然科学基金青年项目1项，国家高层次人才计划青年项目1项。在国际权威期刊共发表SCI论文十余篇（含ESI高被引论文1篇），参编英文专著1部，参编行业规范1部，授权计算机软件著作权1项。担任Structural Control & Health Monitoring，Structural Health Monitoring等国际期刊审稿人，日本樱花科技计划 (Sakura Science Club) 会员。

研究领域

目前从事结构损伤识别、结构温度效应分析、贝叶斯不确定性分析、机器学习等方面的研究

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhenghao Ding, Rongrong Hou, Yong Xia. Structural damage identification considering uncertainties based on a Jaya algorithm with a local pattern search strategy and L-0.5 sparse regularization. Engineering Structures, 261, 114312, 2022. Zhenghao Ding, Rongrong Hou, Yong Xia. Jaya-based long short-term memory neural network for structural damage identification with consideration of measurement uncertainties. International Jounral of Structural Stability and Dynamics, 22(14), 2022. Xiaoyou Wang, Lingfang Li, Wei Tian, Yao Du, Rongrong Hou, Yong Xia. Unsupervised one-class classification for condition assessment of bridge cables using Bayesian factor analysis. Smart Structures and Systems, 29(1): 41-51, 2022. Yao Du, Lingfang Li, Rongrong Hou, Xiaoyou Wang, Wei Tian, Yong Xia. Convolutional neural network-based data anomaly detection considering class imbalance with limited data. Smart Structures and Systems, 29(1): 63-75, 2022. Rongrong Hou, Xiaoyou Wang, Yong Xia. Sparse damage detection via the elastic net method using modal data. Structural Health Monitoring-An International Journal, 0(0): 1-17, 2021. Rongrong Hou, James L. Beck, Xiaoqing Zhou, Yong Xia. Structural damage detection of space frame structures with semi-rigid connections. Engineering Structures, 235, 112029, 2021. Xiaoyou Wang, Rongrong Hou, Yong Xia, Xiaoqing Zhou. Structural damage detection based on variational Bayesian inference and delayed rejection adaptive Metropolis algorithm. Structural Health Monitoring-An International Journal, 20(4): 1518-1535, 2021. Rongrong Hou, Yong Xia. Review on the new development of vibrationu0002based damage identification for civil engineering structures: 2010–2019. Journal of Sound and Vibration, 491, 115741, 2021. Yiding Hu, Qi Xia, Rongrong Hou, Yong Xia, Jianyi Yan. Computer vision-based displacement measurement with m-sequence target. Smart Structures and Systems, 27(3): 537-546, 2021. Rongrong Hou, Xiaoyou Wang, Qi Xia, Yong Xia. Sparse Bayesian learning for structural damage detection under varying temperature conditions. Mechanical Systems and Signal Processing, 145, 106965, 2020. Xiaoyou Wang, Rongrong Hou, Yong Xia. XiaoQing Zhou. Laplace approximation in sparse Bayesian learning for structural damage detection. Mechanical Systems and Signal Processing, 140, 106701, 2020. Tongyi Zheng, Weili Luo, Rongrong Hou, Zhongrong Lu, Jie Cui. A novel experience-based learning algorithm for structural damage identification: simulation and experimental verification. Engineering Optimization, 52(10): 1658-1681, 2020. Rongrong Hou, Yong Xia, Xiaoqing Zhou, Yong Huang. Sparse Bayesian learning for structural damage detection using expectation-maximization technique. Structural Control and Health Monitoring, 26, e2343, 2019. Xiaoqing Zhou, Rongrong Hou, Yuhan Wu. Structural damage detection based on iteratively reweighted l1 regularization algorithm. Advances in Structural Engineering, 22(6): 1479-1487, 2019. Rongrong Hou, Yong Xia, Qi Xia, Xiaoqing Zhou. Genetic algorithm based optimal sensor placement for L1-regularized damage detection. Structural Control and Health Monitoring, 26(1), e2274, 2019. Yiding Hu, Rongrong Hou, Qi Xia, Yong Xia. Temperature-induced displacement of supertall structures: A case study. Advances in Structural Engineering, 22(4), 982-996, 2019. Rongrong Hou, Yong Xia, Xiaoqing Zhou. Structural damage detection based on l1 regularization using natural frequencies and mode shapes. Structural Control and Health Monitoring, 25(3), e2107, 2018. Rongrong Hou, Yong Xia, Yuequan Bao; Xiaoqing Zhou. Selection of regularization parameter for l1-regularized damage detection. Journal of Sound and Vibration, 423(9): 141-160, 2018.