[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tags-groups":3,"chains-groupcat":4,"experts-list":5,"experts-coverage":52},[],[],{"list":6,"total":50,"page":50,"pageSize":51,"totalPages":50},[7],{"id":8,"name":9,"orgName":10,"school":11,"gender":12,"title":13,"degree":12,"honor":12,"position":12,"researchDirection":14,"intro":15,"province":16,"completeness":17,"avatarAuthorized":18,"sourceUrl":19,"nameValid":20,"tags":21,"tagNames":49},"4fa417d9-3ed1-4f4c-8d83-53b80f18800c","宋超","西安交通大学人居环境与建筑工程学院","西安交通大学",null,"讲师","科研成果 1. 期刊论文 Song Chao , Zhao Tengyuan*, Xu Ling, Huang Xiaolin. Probabilistic prediction of uniaxial compressive strength for rocks from sparse data using Bayesian Gaussian process regression with Synthetic Minority Oversampling Technique (SMOTE). Computers and Geotechnics , 2024, 165: 105850. DOI: 10.1016\u002Fj.compgeo.2023.105850 Song Chao , Peng Hongzhen, Xu Ling , Zhao Tengyuan *, Guo Zhiqian, Chen Wenwu. Probabilistic evaluation of cultural soil heritage hazards in China from extremely imbalanced site investigation data using SMOTE-Gaussian process classification. Journal of Cultural Heritage , 2024, 67: 121-133. DOI: 10.1016\u002Fj.culher.2024.02.014 Song Chao , Zhao Tengyuan *, Xu Ling . Physics-informed explainable AI and SMOTE-GPC for the classification of surrounding rock mass in tunneling. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering , 2025, 11(2): 04025021. DOI: 10.1061\u002FAJRUA6.RUENG-1519 Song Chao , Zhao Tengyuan *, Xu Ling . Probabilistic classification of surrounding rock mass of tunnels based on fully Bayesian Gaussian process classification (fB-GPC) with consideration of influencing factors selection. Geological Journal , 2024, 59(9): 2442-2458. DOI: 10.1002\u002Fgj.4925 Zhao Tengyuan , Song Chao , Lu Shifeng, Xu Ling *. Prediction of uniaxial compressive strength using fully Bayesian Gaussian process regression (fB-GPR) with model class selection. Rock Mechanics and Rock Engineering , 2022, 55(10): 6301-6319. DOI: 10.1007\u002Fs00603-022-02964-y Zhao Tengyuan , Song Chao , Xu Ling *, Huang Xiaolin . Bayesian selection of the optimal composite kernels for probabilistic estimation of UCS with explicit consideration of measurement errors and the anisotropic characteristic of input features. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards , 2025. DOI : 10.1080\u002F17499518.2025.2491847 Song Chao *, Zhao Tengyuan . Uncertainty quantification in predicting UCS using fully Bayesian Gaussian process regression with consideration of model class selection. In: Geo-risk 2023 , Arlington, Virginia, 23-26 July, 2023, pp 9-19. 宋超 , 赵腾远, 高重阳. 基于机器学习的黄土关键力学参数概率预测统一框架体系. 地球科学 , 2024. 宋超 , 赵腾远*, 许领. 基于贝叶斯高斯过程回归与模型选择的岩石单轴抗压强度估计方法. 岩土工程学报 , 2023, 45(08): 1664-1673. DOI：10.11779\u002FCJGE20220734 赵腾远, 宋超 , 何欢*. 小样本条件下江苏软土路基回弹模量的贝叶斯估计——基于静力触探数据与高斯过程回归的建模分析. 岩土工程学报 , 2021, 43(S2): 137-141. DOI：10.11779\u002FCJGE2021S2033 宋超 , 赵腾远*. 粘土路基回弹模量预测及贝叶斯模型选择研究. 长沙理工大学学报（自然科学版） , 2024, 21(01): 1-12. DOI: 10.19951\u002Fj.cnki.1672-9331.20231201001 赵腾远, 宋超 , 谌文武, 郭志谦, 许领*. 基于k-means聚类与高斯过程分类的土遗址裂隙病害发育等级概率预测. 石窟与土遗址保护研究 , 2023, 2(04): 75-86. 朱文清, 赵腾远*, 宋超 , 王宇, 许领. 基于吉布斯采样与压缩感知的二维非平稳CPT数据快速插值方法. 土木与环境工程学报(中英文) , 2022, 44(05): 98-108. DOI: 10.11835\u002Fj.issn.2096-6717.2021.194 2. 软件著作权 宋超 , 赵腾远, 许领. 隧道围岩智能分级与可视化平台V1.0. 登记号：2024SR0347851 宋超 , 赵腾远. 岩石关键力学指标智能预测平台V1.0. 登记号：2023SR0614930 赵腾远, 宋超 , 许领. 全国土遗址病害等级发育概率与空间分布预测平台V1.0. 登记号：2023SR0364483","【产业方向】新材料","陕西",59,false,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Fsongchao\u002Fzh_CN\u002Findex.htm",true,[22,25,28,31,34,37,40,43,46],{"code":23,"name":24},"CH-13","新材料",{"code":26,"name":27},"CH-27","建筑",{"code":29,"name":30},"CH-28","交通",{"code":32,"name":33},"CH-33","人工智能",{"code":35,"name":36},"GB-48","土木工程建筑业",{"code":38,"name":39},"GB-65","软件和信息技术服务业",{"code":41,"name":42},"GB-73","研究和试验发展",{"code":44,"name":45},"SEI-01","新一代信息技术产业",{"code":47,"name":48},"SEI-03","新材料产业",[24,27,30,33,36,39,42,45,48],1,30,{"schools":53},297]