个人简介

姓名：郭红月，职称：副教授，博士生导师，邮箱：hyguo@dlmu.edu.cn

主要从事时序数据挖掘、智能预测等人工智能算法及应用的研究工作。主持国家自然科学基金项目2项、国家重点研发计划子课题2项、中国博士后科学基金项目及辽宁省博士科研启动基金项目等；以第一或通讯作者发表论文30余篇；出版学术专著1部；入选大连市青年科技之星及大连市高层次人才计划。

主要研究领域：

学科：数据驱动建模、智能预测、时序数据挖掘、金融风险管理、金融计量分析、航运金融

主要讲授课程：

本科生：多元统计分析、金融计量学、金融时间序列

硕/博研究生：金融计量学、交通大数据分析与应用

主持和参与的科研项目：

[1] 国家自然科学基金面上项目，62573083，多用户时序数据的联邦粒化建模方法及应用研究，主持。

[2] 国家重点研发计划子课题，2023YFB4302203，融合专家知识库与人工智能的装备故障诊断与维修决策，主持。

[3] 国家重点研发计划子课题，2023YFC3305102，面向大宗商品多源信息的智能标签技术研究，主持。

[4] 国家自然科学基金青年项目，62006033，基于粒计算的时序数据特征表示与聚类分析，主持。

[5] 中国博士后科学基金面上项目，2019M651100，跨市场交互作用影响下航运企业组合套期保值策略研究，主持。

[6] 辽宁省博士科研启动基金计划项目，2019-BS-029，基于信息粒化的时间序列聚类方法研究，主持。

[7] 大连市高层次人才创新人才支持计划项目（青年科技之星），2021RQ061，时间序列智能分析在物流大数据中的应用研究，主持。

[8] 辽宁省社会科学基金项目，L18DGL010，辽宁省生态足迹的动态分析及生态文明建设的对策研究，主持。

[9] 中国交通教育研究会教育科学研究课题，JT2022YB211，协同创新视角下交通运输类研究生培养模式的探索与实践，主持。

[10] 教育部产学合作协同育人项目，230726180207305，基于多学科交叉融合的交通大数据分析与应用课程建设，主持。

[11] 大连市发改委项目，关于大连发展跨境电子商务模式研究，主持。

[12] 大连东北亚国际航运中心研究院，大连空港中转能级提升及国际一流空港发展研究，主持。

[13] 大连东北亚国际航运中心研究院，优化航运营商环境，促进大连东北亚国际航运中心建设专项支持政策研究，主持。

[14] 国家自然科学基金面上项目，71971034，金融资产“减价出售”导致间接风险传染的识别、传染规律与风险防范研究，参与。

[15] 国家自然科学基金面上项目，72072018，基于成本控制的外贸集装箱运价保险创新研究，参与。

[16] 大连市高层次人才创新人才支持计划项目（高层次创新人才团队），2022RG05，集装箱多式联运智能技术与装备研发，参与。

[17] 国家自然科学基金航运创新联合基金项目，航运减排法规下的船队绿色能源转型优化理论与方法研究，参与。

[18] 海南省交通规划勘察设计研究院，中国（海南）国际航运交易所组建方式可持续运营模式研究，参与。

[19] 大连市地铁网清分项目，大连地铁ACC系统清分算法模型开发及应用项目，参与。

[20] 大连市自然资源局，大连市综合交通体系规划编制项目，参与。

[21] 大连市重点新型智库课题，破解我市“停车难”问题的对策建议，参与。

[22] 大连市重点新型智库课题，加快国际性综合交通枢纽城市建设的对策措施，参与。

主要学术论文和专著：

[1] Hongyue Guo, Yating Yu, Yunzhen Liu, Lidong Wang*, Peng Jia, and Witold Pedrycz. Association rules and refined information granulation-based time series long-term forecasting. IEEE Transactions on Fuzzy Systems, 2025. (SCI检索)

[2] Hongyue Guo, Mengjun Wan, Lidong Wang*, Xiaodong Liu, and Witold Pedrycz. Weighted fuzzy clustering for time series with trend-based information granulation. IEEE Transactions on Cybernetics, 2024. (SCI检索)

[3] Hongyue Guo, Lidong Wang*, Xiaodong Liu, and Witold Pedrycz. Trend-based granular representation of time series and its application in clustering. IEEE Transactions on Cybernetics, 2022. (SCI检索)

[4] Hongyue Guo, Haibo Kuang, Lidong Wang*, Xiaodong Liu, and Witold Pedrycz. Hierarchical axiomatic fuzzy set granulation for financial time series clustering. IEEE Transactions on Fuzzy Systems, 2022. (SCI检索)

[5] Hongyue Guo*, Lidong Wang, Xiaodong Liu, and Witold Pedrycz. Information granulation-based fuzzy clustering of time series. IEEE Transactions on Cybernetics, 2021. (SCI检索)

[6] Hongyue Guo*, Witold Pedrycz, and Xiaodong Liu. Hidden Markov models based approaches to long-term prediction for granular time series. IEEE Transactions on Fuzzy Systems, 2018. (SCI检索)

[7] Lidong Wang, Fang Zhao, Hongyue Guo*, Xiaodong Liu, and Witold Pedrycz. Top-down granulation modeling based on the principle of justifiable granularity. IEEE Transactions on Fuzzy Systems, 2022. (SCI检索)

[8] Hongyue Guo, Yijia Zhang, Yating Yu, Lidong Wang*, Peng Jia, and Witold Pedrycz. A decomposition-integration interval prediction strategy for iron ore shipping freight rates with reinforcement learning. Engineering Applications of Artificial Intelligence, 2025. (SCI检索)

[9] Hongyue Guo, Yashuang Mu*, Lidong Wang, Xiaodong Liu, and Witold Pedrycz. Granular computing-based time series anomaly pattern detection with semantic interpretation. Applied Soft Computing, 2024. (SCI检索)

[10] Hongyue Guo*, Yuan Xi, Fangping Yu, and Cong Sui. Time-frequency domain based optimization of hedging strategy: Evidence from CSI 500 spot and futures. Expert Systems with Applications, 2024. (SCI检索)

[11] Hongyue Guo, Wenjie Zhao, Boxing Jia*, and Cong Sui. Dynamic risk spillovers between crude oil futures and the Chinese stock market under exogenous shocks: A refined analysis with stock clustering. Journal of Behavioral and Experimental Finance, 2025. (SCI检索)

[12] Hongyue Guo, Haibo Kuang, Cong Sui, and Lidong Wang*. On predicting ocean freight rates: a novel hybrid model of combined error evaluation and reinforcement learning. Maritime Economics & Logistics, 2024. (SCI检索)

[13] Hongyue Guo, Nana Guo, Wenjuan Jia*, Bin Meng, and Cong Sui. Dynamic linkage and extreme risk spillover between international crude oil futures and clean product tanker markets. Maritime Policy & Management, 2025. (SCI检索)

[14] Hongyue Guo, Yongxuan Han, Boxiang Jia*, Bin Meng, and Cong Sui. An interconnected multilayer network perspective: Extreme risk spillovers in commodity and stock markets. Journal of Futures Markets, 2026. (SCI检索)

[15] Hongyue Guo*, Lidong Wang, and Xiaodong Liu. Dynamic time alignment kernel-based fuzzy clustering of non-equal length vector time series. International Journal of Machine Learning and Cybernetics, 2019. (SCI检索)

[16] Hongyue Guo, Qiqi Deng, Wenjuan Jia*, Lidong Wang, and Cong Sui. Hidden Markov model-based modeling and prediction for implied volatility surface. Journal of Intelligent & Fuzzy Systems, 2023. (EI检索)

[17] Hongyue Guo*, Xiaodong Liu, and Lixin Song. Dynamic programming approach for segmentation of multivariate time series. Stochastic Environmental Research and Risk Assessment, 2015. (SCI检索)

[18] Hongyue Guo, Xiaodong Liu*. Dynamic programming-based optimization for segmentation and clustering of hydrometeorological time series. Stochastic Environmental Research and Risk Assessment, 2016. (SCI检索)

[19] Hongyue Guo*, Witold Pedrycz, and Xiaodong Liu. Fuzzy time series forecasting based on axiomatic fuzzy set theory. Neural Computing & Applications, 2019. (SCI检索)

[20]  Hongyue Guo, Zhubin Sun, and Xiaodong Liu*. Multivariate time series segmentation approach based on hidden Markov models. The Tenth International Conference on Innovative Computing, Information and Control, 2015. (EI检索)

[21] Hongyue Guo, Xiaodong Liu*, and Zhubin Sun. Multivariate time series prediction using a hybridization of VARMA models and Bayesian networks. Journal of Applied Statistics, 2016. (SCI检索)

[22] Hongyue Guo, Xinru Li, Wenjuan Jia*, Bin Meng, and Sui Cong. Volatility spillover effects of crude oil market on tanker freight rates in a time-frequency perspective. International Journal of Shipping and Transport Logistics, 2025. (SCI检索)

[23] Yashuang Mu, Kai Hou, Zihao Zhang, Hongyue Guo*, Lidong Wang, and Xiaodong Liu. A dynamic programming-based data-adaptive information granulation approach and its distributed implementation. Applied Intelligence, 2023. (SCI检索)

[24] Wenjuan Jia, Jianshuai Zhang, Hongyue Guo*, Lidong Wang, and Xiaodong Liu. A transformerbased learning system for wart disease treatment based on axiomatic fuzzy set theory. Network Modeling Analysis in Health Informatics and Bioinformatics, 2025. (SCI检索)

[25] Mengjun Wan, Hongyue Guo*, and Lidong Wang. Time series granulation-based multivariate modeling and prediction. International Journal of Computing Science and Mathematics, 2021. (EI检索)

[26] Zhipeng Ma, Hongyue Guo*, and Lidong Wang. A hybrid method of time series forecasting based on information granulation and dynamic selection strategy. Journal of Intelligent & Fuzzy Systems, 2023. (EI检索)

[27] Yashuang Mu, Jiangyong Wang, Wei Wei, Hongyue Guo*, Lidong Wang, and Xiaodong Liu. Information granulation-based fuzzy partition in decision tree induction. Information Sciences, 2022. (SCI检索)

[28] Fang Zhao*, Gang Li**, Hongyue Guo, Lidong Wang. Rule-based models via the axiomatic fuzzy set clustering and their granular aggregation. Applied Soft Computing, 2022. (SCI检索)

[29] Fang Zhao, Hongyue Guo, Lidong Wang*. Granular rule-based modeling using the principle of justifiable granularity and boundary erosion clustering. Soft Computing, 2021. (SCI检索)

[30] 郭红月*, 宁瑾涛, 隋聪. 船运远期运费与商品期货市场溢出效应. 大连海事大学学报, 2022.

[31] 刘依菲, 郭红月*, 刘晓东. 基于样本选择的二型AFS分类方法研究. 南京理工大学学报, 2019.

[32] 徐圆圆, 郭红月*, 王利东. 基于区间时序模型的船舶格指数预测. 山东大学学报, 2024.

[33] 李鑫, 郭红月*, 王利东. 基于绿色评价的冷链物流车辆路径优化. 江苏科技大学学报, 2021.

[34] 郭红月, 王利东. 时序数据粒化表示及其应用. 大连理工大学出版社, 2024.

科研获奖情况：

[1] 辽宁省自然科学学术成果二等奖、基于隐马尔可夫模型的粒化时间序列长期预测方法、2019

[2] 中国交通运输协会科技进步奖特等奖、海公铁联运数智服务关键技术及装备研发与应用、2025

[3] 中国物流与采购联合会科技进步奖一等奖、面向化工品公铁联运的全链式数智服务技术与系统装备、2025

[4] 辽宁省科学技术进步奖一等奖、集装箱海铁公多式联运数智服务关键技术及装备研发与应用、2025

审稿人经历：

IEEE Transactions on Fuzzy Systems、IEEE Transactions on Cybernetics、IEEE Transactions on Knowledge and Data Engineering、Expert Systems with Applications、Engineering Applications of Artificial Intelligence、Information Sciences、Applied Soft Computing、International Journal of Machine Learning and Cybernetics、Stochastic Environmental Research and Risk Assessment 等期刊审稿人

招生类别和方向：

[1] 博士招生方向：

管理科学与工程  1名/年

综合交通运输科学与工程  1名/年

[2] 硕士（学硕或专硕）招生方向或领域：

交通运输（专硕）  2-3名/年

综合交通运输科学与工程（学硕）  2-3名/年

金融工程（学硕）  1名/年

联系方式：hyguo@dlmu.edu.cn, 15040479621