职称：副教授

电话：15994287529

邮箱：shixuanli@whut.edu.cn

研究方向： 知识组织与情报分析、应急舆情分析与文本挖掘

个人简介

 李诗轩，女，1993年05月生，湖北人，2020年毕业于武汉大学管理科学与工程专业，获管理学博士学位。现任武汉理工大学安全科学与应急管理学院，副教授，硕士生导师。

 

主要荣誉及学术任职：

[1] 国际信息系统（AIS）会员

[2] 中国计算机学会（CCF）会员

[3] 担任Information Processing and Management, The British Accounting Review, Economic Modelling，The Electronic Library，Applied Economics等SSCI/SCI期刊审稿人

 

主讲课程

[1]本科生课程：数据库原理与应用，数据仓库与数据挖掘，大数据与机器学习，大数据技术与应用，Python与数据挖掘，文本挖掘与分析

[2]研究生课程：统计运算与数据分析，机器学习

 

主持科研项目

[1]国家自然科学基金青年项目,情景视角下基于事理图谱的领域突发事件溯因与演化推理方法研究，2023年-2025年；

[2]中央高校基本科研业务费专项资金项目,基于多维语义分析的上市公司欺诈风险预警研究，2021年-2022年；

 

出版专著和教材情况

[1]李诗轩. 基于知识融合的上市公司财务危机预警方法研究，武汉大学出版社，2023.

 

发表论文情况

[1] Shixuan Li, Wenxuan Shi, Jiancheng Wang, and Heshen Zhou. A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon：A Case Study in Financial Distress Prediction[J]. Information Processing & Management. 2021. (SSCI/SCI)

[2] Jiancheng Wang, Shixuan Li*, Ding Ma, and Peng Hao. Strategic and economic implications of forward contracting in the presence of capacity expansion [J]. International Journal of Electrical Power and Energy Systems, 2022. (SCI)

[3] Dan Liu, Pei Ma, Shixuan Li*, Wei Lv, and Danhui Fang. Graph Convolutional Neural Network for Pressure Prediction in Water Distribution Network Sites [J]. Water Resource Management, 2024. (SCI)

[4] Shixuan Li*, Wenxuan Shi. Incorporating Multiple Textual Factors into Unbalanced Financial Distress Prediction: A Feature Selection Methods and Ensemble Classifiers Combined Approach[J]. International Journal of Computational Intelligence Systems, 2023. (SCI)

[5] Yinghua Song, Minzhe Jiang, Shixuan Li*, Shengzhe Zhao. Class-imbalanced financial distress prediction with machine learning: incorporating financial, management, textual, and social responsibility features into index system[J]. Journal of Forecasting, 2023. (SSCI)

[6] Xiaobo Tang, Shixuan Li*, Mingliang Tan, and Wenxuan Shi. Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods[J]. Journal of Forecasting, 2020. (SSCI)

[7] Xiaobo Tang, Shixuan Li*, Na Gu, and Mingliang Tan. Exploring repost features of police-generated microblogs through topic and sentiment analysis[J]. The Electronic Library, 2019. (SSCI)

[8] Xiaobo Tang, Wenxuan Shi, Renli Wu, and Shixuan Li. The expansion of team size in library and information science (LIS): Is bigger always better? [J]. Journal of Information Science, 2023. (SSCI/SCI)

[9] Linxia Zhong, Wei Wei, and Shixuan Li. Personalized news recommendation based on an improved conditional restricted Boltzmann machine[J]. The Electronic Library, 2021. (SSCI)

[10] Xiaobo Tang, Heshen Zhou, and Shixuan Li. Predictable by publication: discovery of early highly cited academic papers based on their own features[J]. Library Hi Tech, 2023. (SSCI)

[11] 李诗轩*. 基于事理图谱的公共卫生事件次生衍生事件预警模型构建研究[J]. 中国安全生产科学技术, 2024. (CSCD/南核)

[12] 王璐,李诗轩*,陈烨. 基于主题-情感融合分析的新冠疫苗舆情演化研究[J]. 情报科学, 2024. (CSSCI)

[13] 刘丹,罗颜声,李诗轩*,许钢焱,李墨潇. 面向飞行全过程的民航事故致因关联网络分析[J]. 中国安全科学学报, 2024. (CSCD/南核)

[14] 唐晓波,李诗轩*,谭明亮,杨达森. 国内外政务社交媒体研究评述及展望[J]. 现代情报, 2020. (CSSCI)

[15] 唐晓波,谭明亮,李诗轩,郑杜. 企业破产预测系统模型构建及实现研究[J]. 情报学报, 2019. (CSSCI)

[16] 唐晓波,谭明亮,李诗轩,顾娜. 基于风险短语挖掘的知识聚合模型研究[J]. 情报理论与实践, 2020. (CSSCI)

[17] 唐晓波,石文萱,李诗轩,谭明亮,高和璇,刘志源. 基于大数据的科教评价信息云平台构建和智能服务研究框架[J]. 图书与情报, 2020. (CSSCI)

[18] 唐晓波,周禾深,李诗轩,牟昊. 基于被引-逆文档权重的专家专长识别与分析——以图情领域为例[J].图书情报工作, 2021. (CSSCI)