师资队伍

师资队伍

李诗

讲师

姓名:李诗

所在学科:统计学

职称:讲师

Email:lishi@bwu.edu.cn


个人信息

先后主讲数据科学专业综合设计、计算机基础C(Python)、数据分析与可视化等课程;(主讲课程)

指导学生参加全国大学生大数据分析技术技能大赛获得二等奖(指导大赛)

主持2项横向课题;参与国家重点研发计划1项,参与国防科技重点实验室基金项目1项


研究领域

地学大数据、智能算法


代表性论文

共发表论文十余篇,其中近年来有代表性的论文如下:

[1] Shi Li, Chang Liu and Jianping Chen*, Mineral Prospecting Prediction via Transfer Learning Based on Geological Big Data: A Case Study of Huayuan, Hunan, China, Minerals,2023,13.

[2] Shi Li, Jianping Chen*, Chang Liu. Overview on the Development of Intelligent Methods for Mineral Resource Prediction under the Background of Geological Big Data, Minerals, 2022, 12(5):616-616.

[3] Shi Li, Jianping Chen*, Chang Liu, Yang Wang. Mineral prospecting prediction via convolutional neural networks based on geological big data, Journal of Earth Science, 2021,32(2): 327-347

[4] Shi Li, Jianping Chen*. Asynchronous consensus dynamics for group of high-order agents under switching topologies and time-varying delays. IEEE ACCESS.2020.

[5]Shi Li, Jianping Chen*, Jie Xiang*,Yun Pan,Zhiyong Huang,Yonglinag Wu. Water Level Changes of Hulun Lake in Inner Mongolia Derived from Jason Satellite Data. Journal of Visual Communication and Image Representation.2019, 58: 565-575.

[6]Shi Li, Jianping Chen*, Jie Xiang. Applications of Deep Convolutional Neural Network in Prospecting Prediction Based on Two-dimensional Geological Big Data. Neural Computing and Applications. 2019.

[7]Shi Li, Jianping Chen*, Jie Xiang. Prospecting Information Extraction by Text Mining Based on Convolutional Neural Networks-A case study of the Lala Copper Deposit, China. IEEE ACCESS. 2018, 6: 52286-52297.

[8] Jie Xiang, Shi Li, Keyan Xiao et al. Quantitative Analysis of Anthropogenic Morphologies Based on Multi-Temporal High-Resolution Topography. Remote Sensing. 2019.

[9] Jie Xiang, Jianping Chen, Bagas,L, Shi Li* et al. Southern China's manganese resource assessment: An overview of resource status, mineral system, and prediction model. Ore Geology Reviews. 2020.

[10]李诗,陈建平,向杰等. 基于AlexNet网络的二维找矿预测——以松桃—花垣地区沉积型锰矿为例[J]. 地质通报, 2019, 038(012):2022-2032.    

[11]李诗,陈建平,向杰,张亚光. 基于HTML5及WebGL的周口店虚拟通信平台构建[J]. 计算机仿真, 2020, v.37(11):358-363.  


授权专利

[1] 李诗,陈建平等.一种基于地学专家知识的网页地学相关性计算方法,专利号:ZL 2020 1 0497002.1 (发明专利)

[2] 李诗等.一种便携式探矿仪,专利号:ZL 2021 2 3193470.9(实用新型专利)


科研项目

[1] 国家重点研发计划:深部成矿地质异常定量预测方法与模型,参与,2017-2021.

[2] GF科技重点实验室基金项目:基于地质大数据分析的矿产预测关键技术,参与,2019-2021.

[3] 国土资源公益性行业科研专项:地质大数据技术研究与应用试点,参与,2017-2019.