个人简介
王文洋，男，博士，草榴社区
副教授 
2014年获得大连理工大学信息与计算科学学士学位，2016年获得密苏里大学应用统计学硕士学位，2020年获得密苏里大学统计学哲学博士学位，2023—2024年于中国科学院大连化物所人工智能研究中心从事博士后研究工作。2020年入选大连市高层次人才和大连市城市发展紧缺人才，2023年入选辽宁省“兴辽人才计划”博士后储备人才。主要研究方向为统计分析、大数据分析、人工智能、航运金融。
主要研究领域：
统计学、人工智能、航运金融、交通运输；
主要讲授课程：
本科生：数据挖掘、投资组合管理
硕/博研究生：交通大数据分析
主持和参与的科研项目：
[1] 教育部人文社会科学研究青年项目，22YJC910011，相关向量机分类模型的贝叶斯估计与算法效率研究，主持
[2] 中国科协科技智库青年人才计划项目，20220615ZZ07110091，俄乌冲突背景下中国海上供应链安全保障政策研究，主持
[3] 中国博士后科学基金面上资助项目，2023M733444，面向甲醇制烯烃过程能耗超标诊断的RVM模型优化研究，主持
[4] 国家统计局全国统计科学研究项目，2021LY070，面向非平衡大数据分类问题的相关向量机研究，主持
[5] 辽宁省社会科学规划基金青年项目，L23CJY010，基于数据融合的东北亚国际航运中心干散货智慧运营研究，主持
[6] 辽宁省社会科学界联合会辽宁省经济社会发展研究课题青年项目，2025lslqnkt-020，辽宁省东北亚国际航运中心干散货服务业务智慧经营发展策略研究，主持
[7] 辽宁省科学技术厅辽宁省人工智能领域科技创新重点研发计划项目，2023JH26-10200012，基于预训练大模型的化工工艺自主设计与优化，主持子课题
[8] 辽宁滨海实验室科技攻关项目，LBLF-2023-01，基于知识图谱和大模型驱动的“智能化学工程师”，主持子课题
[9] 中国高等教育学会高等教育科学研究规划课题重点项目，23TY0206，基于网络技术的海上特色体育教学资源整合与应用创新研究，主持
[10] 中国物流协会全国高校、职业院校物流教改教研课题，JZW2025057，基于生成式人工智能的“双师课堂”协作范式构建及物流类本科教学应用研究，主持
主要学术论文和专著：
[1] Wenyang Wang*, and Dongchu Sun. "The improved AdaBoost algorithms for imbalanced data classification." Information Sciences 563 (2021): 358-374.
[2] Wenyang Wang*, Yanna Sun, Keran Li, Jinglin Wang, Chong He, and Dongchu Sun. "Fully Bayesian analysis of the relevance vector machine classification for imbalanced data problem." CAAI Transactions on Intelligence Technology 8, no. 1 (2023): 192-205.
[3] Wang, Jinglin, Cong Sui, Huijun Zhang, Keran Li, Yanning Liu, and Wenyang Wang*. "Effective analysis of remote ship inspection in Asia-Pacific region and its impact on shipping trade under COVID-19." Maritime Policy & Management (2024): 1-30.
[4] Wenyang Wang*, Nan He, Muxin Chen, and Peng Jia. "Freight rate index forecasting with Prophet model based on multi-dimensional significant events." Expert Systems with Applications 249 (2024): 123451.
[5] Wenyang Wang*, Zihao Wang, Fangyi Zhou, Jinghan Wang, Jinglin Wang, and Cong Sui. "The convenience benefits of the shipping market: Evidence from C3 and C5 FFAs." Research in Transportation Business & Management 56 (2024): 101182.
[6] Bei, Honghan, Fangjiao Yang, Wenyang Wang*, Tianren Yang, and Roberto Murcio. "Maritime safety through multi-source data fusion: an AdaBoost-based approach for predictive ship detention by port state control." Maritime Policy & Management (2024): 1-20.
[7] Wenyang Wang, Nan He, Jie Liu, Muxin Chen, Jibin Zhou, Tao Zhang, Mao Ye*, and Zhongmin Liu. "Forecasting Methanol-to-olefins Product Yields based on Relevance Vector Machine with Hybrid Kernel and Rolling-windows." Chemical Engineering Science (2025): 120656.
[8] Wenyang Wang*, Junrui Zhao, Yulihe Chen, Peng Shao, and Peng Jia. "Process safety enhancement in maritime operations: A Bayesian network-based risk assessment framework for the RCEP region." Process Safety and Environmental Protection 194 (2025): 1235-1256.
[9] Wenyang Wang*, Yuping Luo, Mingrui Ma, Jinglin Wang, and Cong Sui. "A novel forecasting framework leveraging large language model and machine learning for methanol price." Energy 320 (2025): 135123.
[10] Luo, Yuping, Wenyang Wang*, Yuyan Zhang, Muxin Chen, and Peng Shao. "A transformer-based model for predicting and analyzing light olefin yields in methanol-to-olefins process." Chinese Journal of Chemical Engineering (2025).
[11] Wenyang Wang*, Nan He, Peng Shao, and Jibin Zhou. "An interpretable multi-model ensemble deep learning framework for forecasting ocean freight indices with external uncertainty factors." Maritime Economics & Logistics (2025): 1-34.
[12] Wenyang Wang*, Yuping Luo, Yuqiang Xu, Danzhu Liu, Jibin Zhou, and Peng Shao. "SPPformer: A transformer-based model with a sparse attention mechanism for comprehensive and interpretable ship price analysis." Transportation Research Part E: Logistics and Transportation Review 199 (2025): 104136.
[13] Wenyang Wang*, Mucin Chen, Yuqiang Xu, Xiaojun Tong, Dongchu Sun, and Chong He. "Bayesian Multivariate Smoothing Spline Approach for Yield Curve Joint Estimation across Bond Types." Computational Statistics 2025.
[14] Wenyang Wang*, Yuping Luo, Zihan Jiang, Jibin Zhou, and Peng Jia. "A Deep Learning Framework for Global Transportation Energy Carbon Emission Forecasting: Integrating Generative Pre-trained Transformers with Multi-scale Feature Analysis." Energy 2025.
招生类别和方向：
硕士（学硕或专硕）招生方向或领域：
金融工程方向（学硕） 1名/年
交通运输方向（专硕） 3名/年
联系方式：[email protected] [email protected]
