| 代表性论文： 【风效应智能预测】 Yiming Zhang, Hao Wang, Jianxiao Mao, et al. Probabilistic framework with Bayesian optimization for predicting typhoon-induced dynamic responses of a long-span bridge[J]. ASCE Journal of Structural Engineering, 2021, 147(1): 04020297. (ESI高被引, ASCE Most Cited) Yiming Zhang, Hao Wang. Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting[J]. Energy, 2023, 278: 127865. (ESI高被引, JCR Q1, IF: 9.0) Yiming Zhang, Zifeng Huang, Yong Xia. An adaptive multi-taper spectral estimation for stationary processes[J]. Mechanical Systems and Signal Processing, 2023, 183: 109629. (JCR Q1, IF: 8.4) Yiming Zhang, Zifeng Huang, Yong Xia. An improved multi-taper S-transform method to estimate evolutionary spectrum and time-varying coherence of nonstationary processes[J]. Mechanical Systems and Signal Processing, 2023, 198, 110386. (JCR Q1, IF: 8.4) Hao Wang, Yiming Zhang*, Jianxiao Mao, et al. Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 220: 104873. (ESI高被引, 国际风工程会刊, JCR Q1, IF: 4.8) Hao Wang, Yiming Zhang, Jianxiao Mao, et al. A probabilistic approach for short-term prediction of wind gust speed using ensemble learning[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 202: 104198. (Most Cited, 国际风工程会刊, JCR Q1, IF: 4.8) 张一鸣, 王浩, 茅建校. 基于稀疏高斯过程回归的强/台风作用下大跨度桥梁风振响应概率预测[J]. 土木工程学报, 2022, 55(10): 72-79. 【结构健康监测】 Yiming Zhang, Alix Marie d’Avigneau, Georgios M Hadjidemetriou, et al. Bayesian dynamic modelling for probabilistic prediction of pavement condition[J]. Engineering Applications of Artificial Intelligence, 2024, 133: 108637. (JCR Q1, IF: 8.0) Yiming Zhang, Hao Wang Hao, Yu Bai, et al. Bayesian dynamic regression for reconstructing missing data in structural health monitoring[J]. Structural Health Monitoring, 2022, 21(5): 147592172110537. (ESI高被引, JCR Q1, IF: 6.6) Yiming Zhang, Hao Wang, Yu Bai, et al. Switching Bayesian dynamic linear model for condition assessment of bridge expansion joints using structural health monitoring data[J]. Mechanical Systems and Signal Processing, 2021, 160: 107879. (JCR Q1, IF: 8.4) Yiming Zhang, Hao Wang, Huaping Wan, et al. Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model[J]. Structural Health Monitoring, 2021, 20(6): 2936-2952. (JCR Q1, IF: 6.6) Hao Wang, Yiming Zhang, Jianxiao Mao, et al. Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model[J]. Engineering Structures, 2019, 192: 220-232. (JCR Q1, IF: 5.5) Yiming Zhang, Hao Wang, Jianxiao Mao.A Bayesian neural network approach for probabilistic model updating using incomplete modal data[J]. Structural Control and Health Monitoring, 2022, 29: e3030. (JCR Q1, IF: 5.4) Yiming Zhang, Hao Wang, Jianxiao Mao, et al. Monitoring-based assessment of the construction influence of Benoto pile on adjacent high-speed railway bridge: case study[J]. ASCE Journal of Performance of Constructed Facilities, 2019, 33(1): 4018106. Xiangyu Chang, Hao Wang, Yiming Zhang*. Back analysis of rock mass parameters in tunnel engineering using machine learning techniques[J]. Computers and Geotechnics, 2023, 163: 105738. (JCR Q1, IF: 5.3) Xiangyu Chang, Hao Wang, Yiming Zhang*, et al. Bayesian prediction of tunnel convergence combining empirical model and relevance vector machine[J]. Measurement, 2022, 188: 110621. (JCR Q1, IF: 5.6) |
