浙江财经大学主页平台管理系统 Chen Yong--Home--Home

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陈勇，博士，男，中共党员，浙江丽水人。2025年毕业于浙江大学道路及交通工程专业并获工学博士学位，现为浙江财经大学文华百人计划研究员，校聘副教授。主要研究方向为城市计算、出行行为复杂性、时空数据挖掘等，长期聚焦大数据驱动的城市出行模式分析与预测，深入研究时空数据挖掘理论、交通流宏观规律、居民出行决策等关键问题。在Cell子刊Patterns、Cell合作子刊The Innovation、Nature合作子刊npj Sustainable Mobility and Transport、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Computational Social Systems、Transportation Research Part A/C/D/E、Information Sciences、Knowledge-Based Systems、Frontiers of Engineering Management、Applied Energy等期刊累计发表论文40余篇，谷歌学术总引用1200余次，h指数18，研究成果遴选为Patterns期刊封面以及Patterns作者专访等。主持浙江省自然科学基金项目1项，作为核心骨干成员参与多项国家自然科学基金和浙江省重点研发计划项目，授权国家发明专利4项。获浙江大学优秀博士毕业生、浙江省优秀硕士论文、浙江大学优秀博士论文、浙江大学竺可桢奖学金(每年全校仅12位研究生获此荣誉)、浙江财经大学卓越之星（每年全校仅2名研究生获此荣誉，1/1800+）等荣誉。目前担任The Innovation Informatics 学术编辑、浙江大学学报《工学版》期刊青年编委、浙江省人工智能学会智能交通分会青年委员、2025年计算交通科学国际研讨会（CTS）竞赛委员会委员，以及担任Cell子刊Cell Reports Sustainability、Cell合作子刊The Innovation、IEEE Transactions on Intelligent Transportation Systems、Transportation Research Part C/D/E、Neural Networks等期刊审稿人。

一、科研论文

注：*表示通讯作者，#表示共同第一作者，IF为最新影响因子

[1] Chen Y., Xu H.G., Chen X.M.*, & Gao Z.Y.* A multi-scale unified model of human mobility in urban agglomerations. Patterns, 4(11), 100862, 2023. (Cell子刊, IF = 7.4)

[2] Chen Y., Liao C.L., Cai Z.E., Wang W.R., Xia Y.J., & Chen X.M.* , Wu J.J., & Gao Z.Y.* Promoting sustainable human mobility for mitigating income segregation. Patterns, 7(2), 101477, 2026. (Cell子刊, IF = 7.4)

[3] Chen Y.,Chen X.M.*, & Gao Z.Y.* Toward equity, transparency, and collaboration human mobility computing for smart cities. The Innovation, 5(5), 100672, 2024. (Cell合作子刊, IF = 25.7)

[4] Chen Y.,Xie N.K., Xu H.G., Chen X.M.* & Lee D.H. A multi-context aware human mobility prediction model based on motif-preserving travel preference learning. IEEE Transactions on Intelligent Transportation Systems, 25(2), 2139-2152, 2024. (SCI, 智能交通顶刊, JCR-Q1, CCF-B, IF = 8.4)

[5] Chen Y., & Chen X.M.* A novel reinforced dynamic graph convolutional network model with data imputation for network-wide traffic flow prediction. Transportation Research Part C: Emerging Technologies, 143, 103820, 2022. (SCI, 交通运输顶刊, JCR-Q1, IF = 7.9, 入选ITS智能交通协会会刊)

[6] Chen Y.^#, Chi B.^#, Li C.J., Zhang Y.L., Liao C.L., Chen X.M.*, & Xie N.* Towards interactive next location prediction driven by large language models. IEEE Transactions on Computational Social Systems, DOI: 10.1109/TCSS.2024.3522965, 2025. (SCI, JCR-Q1, IF = 4.9, CCF-C)

[7] Chen Y., Chen X.M.*, & Gao Z.Y.* Meet the authors: Yong Chen, Xiqun (Michael) Chen, and Ziyou Gao, Patterns, 4(11), 100877, 2023. (Cell子刊, 特邀专题访谈，IF = 7.4)

[8] Chen Y., Li C.J., Wang W.R., Zhang Y.L., Chen X.M.*, & Gao Z.Y.* Sustainable mobility and transport: Landscape, trends, challenges, and opportunities. npj Sustainable Mobility and Transport, 2, 8, 2025. (Nature合作子刊)

[9] Chen Y., Zhang H.Y., Li C.J., Chi B., Wu J.J.*, & Chen X.M.* Large language model empowered smart city mobility. Frontiers of Engineering Management, 12, 201-207, 2025. (FMS-B, 中科院一区, IF = 7.7)

[10] Chen Y., Wang W.R., & Chen X.M.* Bibliometric methods in traffic flow prediction based on artificial intelligence. Expert Systems with Applications, 228, 120421, 2023. (SCI, JCR-Q1, IF = 7.5)

[11] Liu J.M.^#, Li J.Y.#, Chen Y.^#, ... & Chen X.M.* Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management. Applied Energy, 331, 120407, 2023. (SCI, 能源管理顶刊, JCR-Q1, IF = 11.0)

[12] Chen Y., Geng M.S., Zeng J.Q., Yang D., Zhang L., & Chen X.M.* A novel ensemble model with conditional intervening opportunities for ride-hailing travel mobility estimation. Physica A: Statistical Mechanics and its Applications, 628, 129167, 2023. (SCI, JCR-Q2, IF = 3.1)

[13] Chen Y., Zhang S.*, Zhang W.Y., Peng J.J., & Cai Y.S. Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting. Energy Conversion and Management, 185, 783-799, 2019. (SCI, 能源管理顶刊, JCR-Q1, IF = 10.9)

[14] Xiao J.H., Cai Y.S., & Chen Y.* Study on deep reinforcement learning for multi-task scheduling in cloud manufacturing. International Journal of Computer Integrated Manufacturing, doi: https://doi.org/10.1080/0951192X.2025.2452981. (SCI, JCR-Q2, FMS-B, IF = 4.0)

[15] Zhang S., Chen Y., Zhang W.Y.*, & Feng R.J. A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting. Information Sciences, 544, 427-445, 2021. (SCI, JCR-Q1, IF = 6.8)

[16] Zhang S., Chen Y., & Zhang W.Y.* Spatiotemporal fuzzy-graph convolutional network model with dynamic feature encoding for traffic forecasting. Knowledge-Based Systems, 231, 107403, 2021. (SCI, JCR-Q1, IF = 7.6)

[17] Zhang S., Chen Y., Xiao J.H., Zhang W.Y.*, & Feng R.J. Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism. Renewable Energy, 174, 688-704, 2021. (SCI, JCR-Q1, IF = 9.1)

[18] Zhang S., Chen Y., Huang X.L.*, & Cai Y.S. Text classification of public feedbacks using convolutional neural network based on differential evolution algorithm. International Journal of Computers Communications & Control, 14(1), 124-134, 2019. (SCI, JCR-Q3, IF = 1.9)

[19] Xia Y.J., Geng M.S, Chen Y., ... & Chen X.M.* Understanding common human driving semantics for autonomous vehicles. Patterns, 4, 100730, 2023. (Cell子刊, 封面论文, IF = 7.4)

[20] Xu S.Y., Li C.J., Chen Y., Chen X.M.* & Lee D.H. Short-term area trip attraction prediction based on real-time human mobility data. IEEE Transactions on Intelligent Transportation Systems, in press. (SCI, JCR-Q1, CCF-B, IF = 8.4)

[21] Li C.J., Chen Y., Xu H.G., & Chen X.M.* & Lee D.H. Multi-view hypergraph-based ride-sourcing origin-destination demand prediction. IEEE Transactions on Intelligent Transportation Systems, in press. (SCI, 智能交通顶刊, JCR-Q1, CCF-B, IF = 8.4)

[22] Xie N.K., Chen Y., Tang W., & Chen X.M.*. Multi-agent reinforcement learning with communication for ride-sourcing pricing in mixed autonomy mobility. Transportation Research Part C: Emerging Technologies, 176, 105164, 2025. (SCI, 交通运输顶刊, JCR-Q1, IF = 7.9)

[23] Xu H.G., Chen Y., & Chen X.M.*. Understanding ride-sourcing drivers' working patterns based on platform operations data. Transportation Research Part A: Policy and Practice, 194, 104426, 2025. (SCI, 交通运输顶刊, JCR-Q1, IF = 6.8)

[24] Geng M.S., Chen Y., Xia Y.J., & Chen X.M.* Dynamic-learning spatial-temporal transformer network for vehicular trajectory prediction at urban intersections. Transportation Research Part C: Emerging Technologies, 156, 104330, 2023. (SCI, 交通运输顶刊, JCR-Q1, IF = 7.9)

[25] Cai Z.E., Chen Y., Mo D., Liu C.J., & Chen X.M.*. Competition and evolution in ride-hailing market with aggregated services: A dynamic duopoly game model. Transportation Research Part C: Emerging Technologies, 164, 104665, 2024. (SCI, 交通运输顶刊, JCR-Q1, IF = 7.9)

[26] Xu H.G., Chen Y., Li C.J., & Chen X.M.*. Space-time adaptive network for origin-destination passenger demand prediction. Transportation Research Part C: Emerging Technologies, 167, 104842, 2024. (SCI, 交通运输顶刊, JCR-Q1, IF = 7.9)

[27] 郑思静, 陈勇, 朱奕璋, 陈喜群*. 基于个体记忆效应和距离效应的出行目的地识别. 浙江大学学报 (工学版), 58(4), 2024. (EI)

二、主持课题项目

[1] 主持浙江省自然科学基金项目：多模式城市交通出行行为机理分析与预测方法研究，2026/01–2027/12

[2] 主持杭州亿泉信息技术有限公司委托项目：电动物流车路径优化模型及算法研究，2025/07-2027/07

[3] 主持浙江省新苗人才计划项目：360水利卫士——360度全方位的水利工程智能化监管系统(项目号：2020R414041)，2020/01–2020/12

[4] 主持浙江财经大学研究生田野调查基金项目：基于深度学习和迁移学习的短期风速预测系统的研制与推广(项目号：19TYDC030)，2019/05–2020/05

三、授权发明专利

[1] 张帅，陈勇，张文宇，一种交通预测方法及装置，2023-06-30，中国，ZL 202110297442.7

[2] 张帅，张文宇，陈勇，彭娟娟，裘一蕾，2021-08-10，一种基于多因素时空相关性的风速预测方法及装置，中国，ZL 201910115704.6

[3] 张文宇，陈子旋，张帅，陈勇，冯睿隽，2021-06-15，一种基于分块矩阵和模糊运输时间的车辆路径优化方法，中国，ZL 201910526892.1

[4] 张帅，杨汕，张文宇，聂佳浩，陈勇，吕昊阳，2026-03-09，一种超图增强半监督图重构方法及重叠社区检测方法，中国，ZL 202511034360.8

四、奖励与荣誉

[1] 2026.01 获浙江大学优秀博士论文

[2] 2025.03 获浙江大学优秀毕业生

[3] 2024.12 获浙江大学竺可桢奖学金（每年全校仅12位研究生获得此荣誉）

[4] 2024.12 获博士研究生国家奖学金

[5] 2022.12 获2021年浙江省优秀硕士学位论文

[6] 2020.12 获硕士研究生国家奖学金

[7] 2019.12 获浙江财经大学“卓越之星”（每年全校仅2名研究生获此荣誉，1/1800+）

[8] 2019.12 获硕士研究生国家奖学金

五、指导学生竞赛

[1] 2025/12 获第四届中国研究生金融科技创新大赛(国A) 三等奖

[2] 2025/12 获第四届中国研究生金融科技创新大赛(国A) 二等奖

[3] 2025/10 获首届中国研究生智能建造创新大赛(国A) 一等奖

[4] 2025/10 获第十届浙江省大学生金融创新大赛(省A) 银奖

[5] 2025/10 获“华为杯”第七届中国研究生人工智能创新大赛(国A) 三等奖

[6] 2025/10 获“华为杯”第七届中国研究生人工智能创新大赛(国A) 三等奖

[7] 2025/10 获浙江省第十九届“挑战杯”大学生课外学术科技作品竞赛“人工智能+”专项赛(省A) 二等奖

[8] 2025/08 获“农行杯”浙江省国际大学生创新大赛(省A) 银奖

[9] 2025/08 获“农行杯”浙江省国际大学生创新大赛(省A) 银奖

[10] 2025/06 获批浙江省大学生创新创业训练计划项目

[11] 2025/06 获批浙江省大学生创新创业训练计划项目

[12] 2025/06 获批浙江财经大学田野调查计划项目

Research Project

[1]多模式城市交通出行行为机理分析与预测方法研究，进行，2026年度浙江省自然科学基金青年项目，Chen Yong

[2]电动物流车路径优化模型及算法研究，进行，Chen Yong,骆子浩,方圆,吴悦,刘阳,陈帅,陈婉婷,Nie Jiahao,Huang Xiaoling,Guo Shanshan,Zhang Shuai,Zhang Wenyu,fangxin,杨斯涵,任宪美

Papers

[1]Chen Yong,廖辰磊,蔡泽恩,Wang WanRu,夏英集,陈喜群,吴建军,高自友. Promoting sustainable human mobility for income segregation mitigation，Patterns，7(3)：2026-03-13

[2]Xu, Shuyang,Li, Chuanjia,Chen Yong,Su, Yuelong,Li, Yi,Chen, Xiqun. Short-Term Area Trip Attraction Prediction Based on Real-Time Human Mobility Data，IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS，卷: 27期: 2页: 2470-2487：2026-02-01

[3]Li, Chuanjia,Chen Yong,Xu, Shuyang,Chen, Xiqun. Multi-Mode Spatiotemporal Adaptive Fusion Network for Travel Demand Prediction，IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS，卷: 27期: 3页: 3546-3563：2026-03-01

[4]Zhang, Chunqin,Elie, Tshimanga Kalubi,Li, Waner,Zheng, Liqun,Li, Jinpei,Yao, Di,Chen Yong,Yao, Wenbin. The causal effect of network structures on subjective well-being among older adults，TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT，卷: 155：2026-06-01

[5]Chi, Ben,Chen Yong,Li, Chuanjia,Xu, Shuyang,Zhang, Yuliang,Chen, Xiqun (Michael). A Multi-Step location prediction model based on large language model knowledge distillation and experts integration，TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES，卷: 188：2026-07-01

Courses

[1]人工智能基础

[2]人工智能导论

[3]区块链技术与应用

[4]金融科技

[5]计算机科学导论

[6]桌面应用开发