健康数据科学系

王自成

发布时间：2025-09-02
来源：8040威尼斯




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，8040威尼斯高层次引进人才（四类）。目前，以第一作者在国内外著名学术期刊上发表论文10余篇，主持国家自然科学基金青年项目、安徽省自然科学基金青年项目、安徽高校研究生科学研究项目各1项。作为主要参与人，参与预测理论与方法相关的国家自然科学基金面上项目2项，完成安徽省人社厅、国家统计局安徽调查总队等委托的横向项目多项。曾获中国研究生数学建模竞赛一等奖（获奖比率1.16%）和二等奖（获奖比率13.38%）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IEEE Transactions on Engineering Management、Information Fusion、Engineering Applications of Artificial Intelligence和Journal of Big Data等多个国际著名期刊的匿名审稿人。

研究方向：预测与评价（公共卫生和医疗方向）、环境健康管理、生物（非平稳）信号处理、大数据分析与建模

办公地址：循真楼8040威尼斯C212

电子邮箱：zichengwang@ahmu.edu.cn 

工作经历：2024.07-至今8040威尼斯健康数据科学系

发表论文：

[1] Zicheng Wang, Liren Chen, Huayou Chen, Jingling Yang, Naveed Ur Rehman. Graph signal processing meets machine learning: Multi-scale spatial-temporal ensemble learning methodology for air quality forecasting. Expert Systems With Applications, 2025, 291, 128538. (SCI, JCR Q1/中科院1区TOP,IF2025=7.5)

[2] Zicheng Wang, Huayou Chen, Jiaming Zhu, Zhenni Ding. Ternary interval forecasting of air pollutant concentration: A novel multivariate decomposition and optimal variable weight ensemble paradigm. Journal of Forecasting, (Accepted, in press). (SSCI, JCR Q1/中科院3区,IF2025=2.7)

[3] Zicheng Wang, Ruobin Gao, Piao Wang, Huayou Chen. 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. (SSCI, JCR Q1/中科院1区TOP,IF2023=12)

[4] Zicheng Wang, Liren Chen, Huayou Chen, Naveed Ur Rehman. Monthly ship price forecasting based on multivariate variational mode decomposition. Engineering Applications of Artificial Intelligence, 2023, 125, 106698. (SCI, JCR Q1/中科院1区TOP,IF2023=8)

[5] Zicheng Wang, Huayou Chen, Jiaming Zhu, Zhenni Ding. Daily PM2.5 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. (SCI, JCR Q1/中科院1区TOP,IF2022=8.7)

[6] Zicheng Wang, Hao Li, Huayou Chen, Zhenni Ding, Jiaming Zhu. Linear and nonlinear framework for interval-valued PM2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition. Expert Systems With Applications, 2022, 205, 117707. (SCI, JCR Q1/中科院1区TOP,IF2022=8.5)

[7]Zicheng Wang, Liren Chen, Zhenni Ding, Huayou Chen. An enhanced interval PM2.5 concentration forecasting model based on BEMD and MLPI with influencing factors. Atmospheric Environment, 2020, 223, 117200. (SCI, JCR Q1/中科院2区TOP,IF2020=4.798)

[8]Zicheng Wang, Liren Chen, Jiaming Zhu, Huayou Chen, Hongjun Yuan. 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. (SCI, JCR Q2/中科院3区,IF2020=4.223)

[9]Zicheng Wang, Huayou Chen, Jiaming Zhu, Zhenni Ding. 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. (SCI, JCR Q4/中科院4区,IF2021=1.737)

[10] 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)

[11] 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)

[12] Zhenni Ding, Huayou Chen, Ligang Zhou, Zicheng Wang. A forecasting system for deterministic and uncertain prediction of air pollution data. Expert Systems With Applications, 2022, 208, 118123. (SCI, JCR Q1/中科院1区TOP,IF2022=8.5)

[13]Ruobin Gao, Sibo Yang, Meng Yuan, Zicheng Wang, Maohan Liang, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen. A dynamic ensemble deep randomized neural network using deep auto-regressive features for wave height forecasting with missing values. IEEE Journal of Oceanic Engineering, (SCI, JCR Q1/中科院2区,IF2025=5.3).

[14]Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan. Discontinuous parsimony embedding empowered transformer for shipping market forecasting. 2025 International Joint Conference on Neural Networks, (IJCNN, CCF 推荐会议).

主持及参与项目：

[1]国家自然科学基金青年项目（C类）（2026.01-2028.12）在研，主持

[2]安徽省自然科学基金青年项目（C类）（2025.09-2027.08）在研，主持

[3]安徽高校研究生科学研究项目（2022.01-2022.12）已结题，主持

[4]国家自然科学基金面上项目（2019.01-2022.12）已结题，参与

[5]国家自然科学基金面上项目（2024.01-2027.12）在研，参与