師資隊伍

師資隊伍

李詩

講師

姓名:李詩

所在學科:統計學

職稱:講師

Email:lishi@bwu.edu.cn


個人信息

先後主講數據科學專業綜合設計、計算機基礎C(Python)、數據分析與可視化等課程;(主講課程)

指導學生參加全國大學生大數據分析技術技能大賽獲得二等獎(指導大賽)

主持2項橫向課題;參與國家重點研發計劃1項,參與國防科技重點實驗室基金項目1項


研究領域

地學大數據、智能算法


代表性論文

共發表論文十餘篇,其中近年來有代表性的論文如下:

[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]李詩,陳建平,向傑等. 基于AlexNet網絡的二維找礦預測——以松桃—花垣地區沉積型錳礦為例[J]. 地質通報, 2019, 038(012):2022-2032.    

[11]李詩,陳建平,向傑,張亞光. 基于HTML5及WebGL的周口店虛拟通信平台構建[J]. 計算機仿真, 2020, v.37(11):358-363.  


授權專利

[1] 李詩,陳建平等.一種基于地學專家知識的網頁地學相關性計算方法,專利号:ZL 2020 1 0497002.1 (發明專利)

[2] 李詩等.一種便攜式探礦儀,專利号:ZL 2021 2 3193470.9(實用新型專利)


科研項目

[1] 國家重點研發計劃:深部成礦地質異常定量預測方法與模型,參與,2017-2021.

[2] GF科技重點實驗室基金項目:基于地質大數據分析的礦産預測關鍵技術,參與,2019-2021.

[3] 國土資源公益性行業科研專項:地質大數據技術研究與應用試點,參與,2017-2019.


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