基本情况：

王自成，中共党员，校聘副教授，硕士研究生导师。安徽大学与丹麦奥胡斯大学（Aarhus University）联合培养博士，2024年6月获安徽大学统计学博士学位。已在国内外著名学术期刊上发表论文10余篇，参与国家自然科学基金1项，主持安徽高校研究生科学研究项目基金1项（教育厅项目）。曾获中国研究生数学建模竞赛一等奖和二等奖各1项，指导本科生（安徽大学）获数学建模竞赛国际奖、国家奖和省级奖10余项，获2020年全国大学生数学建模竞赛安徽赛区优秀指导教师奖。受邀担任Information Fusion、Engineering Applications of Artificial Intelligence、Journal of Big Data、Computers & Electrical Engineering等多个著名国际期刊的匿名审稿人。

主要研究方向：预测与决策分析、环境健康管理、流行病预警、非平稳信号处理和大数据分析与建模等

电子邮箱：zichengwang@ahum.edu.cn

工作经历：

2024.07-至今88858cc永利官网健康数据科学系

发表论文：

Wang Zicheng, Gao Ruobin, Wang Piao, Chen Huayou. A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm. Technological Forecasting and Social Change, 2023, 191, 122504. (中科院一区, TOP期刊)

2. Wang Zicheng, Li Hao, Chen Huayou, Ding Zhenni, Zhu Jiaming. Linear and nonlinear framework for interval-valued PM_2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition. Expert Systems with Applications, 2022, 205, 117707. (中科院一区, TOP期刊)

3. Wang Zicheng, Chen Huayou, Zhu Jiaming, Ding Zhenni. Daily PM_2.5 and PM₁₀ forecasting using linear and nonlinear modeling framework based on robust local mean decomposition and moving window ensemble strategy. Applied Soft Computing, 2022, 114, 108110. (中科院一区, TOP期刊)

4. Wang Zicheng, Chen Liren, Chen Huayou, Rehman Naveed Ur. Monthly ship price forecasting based on multivariate variational mode decomposition. Engineering Applications of Artificial Intelligence, 2023, 125, 106698. (中科院一区（小类）, TOP期刊)

5. Wang Zicheng, Chen Liren, Ding Zhenni, Chen Huayou. An enhanced interval PM_2.5 concentration forecasting model based on BEMD and MLPI with influencing factors. Atmospheric Environment, 2020, 223, 117200. (中科院二区, TOP期刊)

6. Wang Zicheng, Chen Liren, Zhu Jiaming, Chen Huayou, Yuan Hongjun. Double decomposition and optimal combination ensemble learning approach for interval-valued AQI forecasting using streaming data. Environmental Science and Pollution Research, 2020, 27(30), 37802-37817. (中科院三区)

7. Wang Zicheng, Chen Huayou, Zhu Jiaming, Ding Zhenni. Multi-scale deep learning and optimal combination ensemble approach for AQI forecasting using big data with meteorological conditions. Journal of Intelligent & Fuzzy Systems, 2021, 40(3), 5483-5500. (中科院四区)

8. 王自成，陈华友，韩冰，朱家明. 基于TOPSIS的最大贴近度的最优组合预测模型及其性质[J].中国科学技术大学学报, 2019, 49(09): 751-761. (CSCD)

9. 王自成，朱家明，陈华友.基于逐步回归筛选的回归组合预测模型[J].统计与决策, 2019, 35(17): 75-78. (CSSCI)

10. Ding Zhenni, Chen Huayou, Zhou Ligang, Wang Zicheng. A forecasting system for deterministic and uncertain prediction of air pollution data. Expert Systems with Applications, 2022, 208, 118123. (中科院一区, TOP期刊)

主持及参与项目：

1. 安徽高校研究生科学研究项目：多尺度多因素视角下区间型大气污染物浓度区域协同预测模型及其性质研究(YJS20210078)，2022.1-2022.12，主持

2. 国家自然科学基金面上项目：基于交互信息集成的组合预测方法及其应用研究 (71871001)，2019.1-2022.12，参与