个人简历
王成彬,博士,副教授。
中国地质学会青年工作委员会委员、DDE深时数字地球大科学项目数据科学工作组共同组长,2023年入选“自然资源部高层次科技创新人才工程”。主要从事数学地质与地学信息领域的研究工作。近期研究兴趣主要侧重于地学领域知识图谱构建、深时-空间地质知识融合对齐、资源智能预测与评价、地质矿产大语言模型、基于矿物大数据的矿物系统知识发现与协同演化。
课题组欢迎具有地质资源、GIS、计算机和数学专业背景,对地学大数据交叉领域研究感兴趣的同学报考!!
近年承担科研项目:
(9) 三峡库区滑坡监测预警知识图谱系统开发,2024年6月-2025年6月,武汉地质调查中心,参与,在研;
(8) 地质大数据驱动的湖南金矿精准智能预测评价,2024年6月-2026年6月,湖南省地质调查所,负责金矿知识图谱构建及驱动机制研究,在研;
(7) 矿床领域知识图谱多模态属性抽取与集成,2023年8月-2025年8月,智能地学信息处理湖北省重点实验室开放研究课题,负责,在研;
(6) 矿物微区地球化学大数据分析与成矿机理自动判别, 2023年6月-2025年6月,武汉市知识创新专项曙光计划项目,负责,在研;
(5)“云找矿”应用支撑能力技术研究,2023年4月-2024年12月,企事业单位委托项目,项目副负责,在研;
(4)地质资源智能预测及勘探开发地质风险评估理论模型与方法,2022年12月-2027年11月,国家重点研发计划子课题,专题负责,在研;
(3)矿床领域文本数据挖掘与知识图谱构建,2020年1月-2022年12月,国家自然基金青年项目,项目负责人,结题;
(2)基于大数据技术的地质文本分词与信息抽取研究,2019年01月-2020年12月,湖北省自然基金,项目负责人,结题;
(1)应城市典型矿区三维可视化技术支持,2020年08月-2020年12月,横向合作项目,项目负责人,结题;
发表学术论文或专著:
(26)王成彬*,王明果,王博,陈建国,马小刚,蒋恕,2024. 融合知识图谱的矿产资源定量预测.地学前缘.地学前缘. https://doi.org/10.13745/j.esf.sf.2024.5.3
(25)Wang C.*, Tan L., Li Y., Wang M., Ma X., and Chen J., 2024. Ontology-driven Relational Data Mapping for Constructing a Knowledge Graph of Porphyry Copper Deposits. Earth Science Informatics . https://doi.org/10.1007/s12145-024-01307-5.
(24)Wang C.*, Li Y., Chen J. and Ma X., 2023. Named Entity Annotation Schema for Geological Literature Mining in the Domain of Porphyry Copper Deposits. Ore Geology Reviews.152:105243. https://doi.org/10.1016/j.oregeorev.2022.105243
(23)Wang C.*, Li Y., Chen J. 2023.Text Mining and Knowledge Graph Construction from Geoscience Literature Legacy: A Review. In: Ma X, Mookerjee M, Hsu L, Hills D (eds) Recent Advancement in Geoinformatics and Data Science, GSA Special paper. https://doi.org/10.1130/2022.2558(02)
(22)Wang C.*, Zhao K-D.*, Chen J. and Ma X., 2022. Examining Fingerprint Trace Elements in Cassiterite: Implications for Primary Tin Deposit Exploration. Ore Geology Reviews. 149. 105082. https://doi.org/10.1016/j.oregeorev.2022.105082
(21)Ma C., Morrision S., Muscente D., Wang C., and Ma X., 2022. Incorporate temporal topology in a deep-time knowledge base to facilitate data-driven discovery in geoscience. Geoscience Data Journal. https://doi.org/10.1002/gdj3.171
(20)Yang X., Chen J., Wang C., and Chen Z., 2022. Residual Dense Autoencoder Network for Nonlinear Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://ieeexplore.ieee.org/document/9815532
(19)Wang C.*, Chen J.*, and Ouyang Y., 2022. Determination of Predictive Variables in Mineral Prospectivity Mapping Using Supervised and Unsupervised Methods. Natural Resouces Research.31, 2081–2102. https://doi.org/10.1007/s11053-021-09982-7
(18)Wang C., Ma X., 2021, Digital Geological Mapping. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-26050-7_88-1
(17)Wang C., Ma X., 2021, Text Mining. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-26050-7_325-1
(16)Wang, C.*; Wang, X.; Chen, J., 2021. Digital Geological Mapping to Facilitate Field Data Collection, Integration, and Map Production in Zhoukoudian, China. Applied Sciences. 11, 5041. https://doi.org/10.3390/app11115041
(15)Ma, X., Ma, C., and Wang, C., 2020. A new structure for representing and tracking version information in a deep time knowledge graph.Computer and Geosciences, DOI:10.1016/j.cageo.2020.104620 【PDF】
(14)郑迎凯, 陈建国, 王成彬, 程潭武,2020.确定性系数与随机森林模型在云南芒市滑坡易发性评价中的应用.地质科技通报, 39(6):131-144
(13)Wang, C.*, Pan, Y., Chen, J.*, et al., 2020. Indicator Element Selection and Geochemical Anomaly Mapping Using Recursive Feature Elimination and Random Forest Methods in the Jingdezhen Region of Jiangxi Province, South China, Applied Geochemistry, 122,104760. DOI:10.1016/j.apgeochem.2020.104760【PDF】
(12)Wang, C. and Ma, X., 2019.Text Mining to Facilitate Domain Knowledge Discovery. In: Abdelkrim El Mouatasim (ed.),Text Mining - Analysis, Programming and Application. DOI:10.5772/intechopen.85362【PDF】
(11)Wang, C., Ma, X.*, Chen, J., 2018. Ontology-Driven Data Integration and Visualization for Exploring Regional Geologic Time and Paleontological Information, Computer & Geosciences. 115:12-19 DOI: 10.1016/j.cageo.2018.03.004 【PDF】
(10)Wang C., Chen J., 2019. Identification of concealed geological structures in a Grassland Area in Inner Mongolia, China: A Perspective from Temperature Vegetation Dryness Index (TVDI). Journal of Earth Science. 30(4): 853-860. DOI: 10.1007/s12583-017-0980-9 【PDF】
(9)Wang, C., Ma, X., Chen, J. and, Chen J., 2018. Information Extraction and Knowledge Graph Construction from Geoscience Literature, Computer & Geosciences.112:112-120 DOI: 10.1016/j.cageo.2017.12.007 【PDF】【Most Cited Computers & Geosciences Articles】
(8)王成彬,马小刚,陈建国. 2018. 数据预处理在地学大数据中应用, 岩石学报.34(02):303-313【PDF】
(7)Ma X., Hummer D., Golden J., Fox P., Hazen R., Shaunna M., Downs R., Madhikarmi B., Wang C., Mayer M., 2017. Using visualized exploratory data analysis to facilitate collaboration and hypothesis generation in cross-disciplinary research, ISPRS International Journal of Geo-Information 6(11): 368-378【PDF】
(6)Wang C., Chen J., Xiao F., Tounkara F. and Li L.,2016. Radioelement distributions and analysis of microtopographical influences in a shallow covered area, Inner Mongolia, China: Implications for mineral exploration, Journal of Applied Geophysics.133:62-69 DOI: 10.1016/j.jappgeo.2016. 06.013【PDF】
(5)Wang C., Rao J., Chen J., Ouyang Y., Qi S. and Li Q., 2016. Prospectivity Mapping for “Zhuxi type” Hydrothermal Cu-W Polymetallic Deposits in the Jingdezhen Region of Jiangxi Province, South China, Ore Geology Reviews.89:1-14 DOI: 10.1016/j.oregeorev.2017.05.022 【PDF】
(4)Wang C., 2014. Application of Empirical Model Decomposition and Independent Component Analysis to Magnetic Anomalies Separation: a case study for Gobi Desert coverage in Eastern Tianshan, China. The 16th annual conference of the International Association for Mathematical Geoscience. German: Springer 593-598 【PDF】
(3)Xiao F., Chen J., Agterberg F., Wang C., 2014. Element behavior analysis and its implications for geochemical anomaly identification: A case study for porphyry Cu–Mo deposits in Eastern Tianshan, China. Journal of Geochemical Exploration, 145: 1-11 【PDF】
(2)王成彬,陈建国,肖凡,吴光明,张珍玉. 2013.浙西北银山银多金属矿床地质特征及成因.地质与勘探,49(4):634-646【PDF】
(1)Xiao,F., Chen, J., Zhang, J., Wang, C., Wu, G., Agterberg, FP. 2012.Singularity mapping and spatially weighted principal component analysis to identify geochemical anomalies associated with Ag and Pb-Zn polymetallic mineralization in Northwest Zhejiang, China. Journal of Geochemical Exploration,122:90-100 【PDF】
专利
授权专利
王成彬,2023,中国地质大学(武汉),一种基于知识图谱驱动的矿产资源预测方法、存储介质(ZL202310157590.8)
王明果,李加明,王成彬等,2024,云南省地矿测绘院有限公司、中国地质大学(武汉),地球物理勘探数据去噪方法、装置和电子设备(ZL 2023 1 1848272.2)
实审专利
王成彬、罗转霞,2023,中国地质大学(武汉),一种语义关系抽取训练语料快速构建方法和装置(申请号:202310754870.7)
王成彬,2023,中国地质大学(武汉),一种地球化学勘查指标元素的筛选和确定方法(申请号:202310099261.2)
王成彬,王明果、叶一材等,2024,中国地质大学(武汉)、云南省地矿测绘院有限公司,野外地质工作智能问答推荐系统设计方法、设备及介质(202311729165.8)
指导学生获奖:
(1)王博等,2019,国家大学生创新创业训练计划 优秀结题
(2)王阳等,2020,国家大学生创新创业训练计划 优秀结题
(3)毕锐、王越、罗转霞,2021, 第十三届全国高校GIS技能大赛高级开发组三等奖
(4)侯轶、杨凯龙、王博、张文静,2022,第十三届全国高校GIS技能大赛高级开发组二等奖
(5)侯轶,2023,优秀本科毕业论文
教育经历
[1] 2016.9-2017.9
University of Idaho | Geoinformatics 访问学者
[2] 2014.9-2017.12
中国地质大学(武汉) | 矿产普查与勘探 | 工学博士学位 | 博士研究生
[3] 2011.9-2014.6
中国地质大学(武汉) | 矿产普查与勘探 | 工学硕士学位 | 硕士研究生
[4] 2007.9-2011.6
中国地质大学(武汉) | 资源勘查工程 | 学士学位 | 本科毕业
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