赵敬华

职称:副教授 硕士生导师

主要研究领域:互动创新、知识管理、供应链

电子邮箱:sunnyjhlove@163.com

办公室:经管大楼A楼700室

教育背景与工作经历

教育背景

博士,管理科学与工程,同济大学,2009-2013

硕士,管理科学与工程,北京理工大学,2007-2009

 

工作经历

访问学者,同济大学经济与管理学院,2019-2020

访问学者,美国北卡罗莱纳州州立大学,2012-2013



教研项目及成果

项目

[1]上海理工大学决策咨询项目.2022-YJ-L03,新冠疫情冲击后上海服务业振兴发展对策研究. 2022.6-2022.12,主持

[2]上海市教育科学研究项目,C2023292,新媒体时代下数据融合驱动的高校舆情控制策略研究,2022.7-2025.6,主持

[3]上海市软科学重点项目,22692108400,重大疫情下数据融合驱动的网络舆情主题图谱建模与治理研究。2022.3-2023.3,,主持。

[4]国家自然科学基金青年项目,72201173,产品创新驱动下基于用户生成内容的用户需求识别与预测,2023.1-2025.12,主持。

[5]教育部人文社科项目,14YJCZH218,基于本体的动态供应链多agent分布仿真建模、2015/01-2017/12,已结题,主持 

[6]上海市体育局一般课题,TYSKYJ201915, 多媒体环境下上海体育赛事突发事件舆论监控与引导研究,已结题,主持


论文

[1]Jinghua Zhao, Xiting Lyu, Haiying Rong,Jiale Zhao. TRGCN:A Prediction Model for Information Diffusion Based on Transformer and Relational Graph Convolutional Network [J]. Transactions on Asian and Low-Resource Language Information Processing (录用)

[2]Jinghua Zhao, Lvxiting, Shanshan Liu. Juan Feng, Ruishu Zhang. Tripartite Game Analysis of Online Public Opinion Evolution in Major Epidemic [J]. Neural Computing & Applications,(录用)

[3]赵敬华,施佳,张艳等. 异质信息环境下基于案例推理和灰色关联分析的多属性决策方法 [J/OL]. 控制与决策, 1-9[2024-03-19]. (卓越期刊)

[4]赵敬华,谢婉瑜,吕锡婷等.基于RF-BERT和UGC的用户需求识别及其发展趋势预测[J/OL].情报科学:1-22[2023-09-30]. (CSSCI)

[5]吕锡婷,赵敬华,荣海迎等.基于Transformer和关系图卷积网络的信息传播预测模型[J/OL].计算机应用:1-9[2023-09-30]. (校A)

[6]赵敬华,施佳,荣海迎等.基于GRA-GCRITIC和改进加权双向投影的区间Fermatean模糊多属性群决策方法[J/OL].计算机应用研究:1-9[2023-09-30]. (校A)

[7]Zhao Jinghua, Zhao Jiale, , Chi Chenxin, Wang Chengyin, Zhao Xiaohua. Federated Learning-inspired User Personality Prediction Using Sentiment Analysis and Topic Preference[J]. IEEE Transactions on Consumer Electronics(中科院2区,online)

[8]Zhao Jinghua, Lan Ting, Rong Haiying, Liu Shanshan. Exploring the evolutionary game of rumor control based on prospect theory [J]. Neural Computing and Applications (Early Access).

[9]Zhao Jinghua, Ronghaiying. Multi-attribute decision-making based on data mining under a dynamic hybrid trust network[J]. Computers & Industrial Engineering, v185: 109672 (中科院一区)

[10]赵敬华,兰婷.基于BOPPPS混合教学模式的课程思政建设路径探究与实践——以管理博弈课程为例[J].上海理工大学学报(社科版),(校A,教改论文,录用待刊)

[11]Jinghua Z, Jiale Z, Juan F. Information diffusion prediction based on cascade sequences and social topology[J]. Computers and Electrical Engineering, 2023, 109: 108782.

[12]翁晓峰,赵敬华.媒体融合发展经营机制的有效性研究——基于制度工程学[J].北京交通大学学报(社会科学版),2022,21(04):124-133.(CSSCI)

[13]赵敬华,荣海迎,吕锡婷等.基于DEMATEL和信任网络的毕达哥拉斯模糊多属性应急决策方法[J].计算机应用研究,2023,40(01):165-171.(校A)

[14]赵敬华,张艳,张维等.基于异质信息的被执行人的评估决策问题研究[J/OL].控制与决策:1-9[2023-07-03].(卓越期刊)

[15]赵敬华,张艳,林杰.基于概率语言和改进TODIM的产品服务匹配方法[J].控制与决策,2023,38(04):1119-1128. (卓越期刊)

[16]Jinghua Zhao, Rong Ke, Zheng Xu, Jia Shi. Pricing and coordination of automotive supply chain for incorporating efficient charging facilities[J]. Energy Reports,2022(8):13814-13823 

[17]Zhao Jinghua, Zhang Wei, Feng Juan, Zhang Yan, Ma Shujiao. Joint Promotion of Online Retail Based on Promotional Effort under the Shopping Festival Background[J].  Computational Intelligence and Neuroscience, 2022,6744565.

[18]Han Xiaobo, Han Yin, Ke Rong, Zhao Jinghua. Research on the Cooperation Model of New Energy Vehicle Supply Chain under the Background of Government Subsidies Declining [J]. Sustainability, 2022,14(9):12731.(WOS:000867124900001)(已索引:2022-10-20)

[19]Zeng Dalin, Zhao Jinghua, Zhang Wei, Zhou, Zhou, Yan. User-interactive innovation knowledge acquisition model based on social media[J]. Information Processing & Management,2022,59(3):102923. (中科院一区)

[20]柯荣,赵敬华,魏海蕊等.考虑消费者偏好的新能源汽车供应链优化与协调机制[J].机械设计与研究,2022,38(01):154-160.

[21]Jinghua Zhao,Huihong He,Xiaohua Zhao,Jie Lin. Modeling and simulation of microblog-based public health emergency-associated public opinion communication[J]. Information Processing & Management, 2022,59(2) :102846. (中科院SCI一区)

[22]Weng Xiaofeng, Zhao Jinghua, Jiang Chenxi, Ji Yiying. Research on sentiment classification of futures predictive texts based on BERT[J]. Computing,2021:1-18.

[23]Zhao Jinghua, Lin Jie, Liang Shuang, Wang Mengjiao. Sentimental prediction model of personality based on CNN-LSTM in a social media environment [J]. Journal of Intelligent & Fuzzy Systems,2021,40(2): 3097-3106. 

[24]Zhao Jing-hua,   Zeng Da-lin,   Che Li-ping,   Zhou Ting-wei,   Hu,Jun-yi. Research on the profit change of new energy vehicle closed-loop supply   chain members based on government subsidies [J]. Environment Technology & Innovation,2020,19:100937. 

[25]Zhao, Jinghua, Zeng, Dalin, Xiao, Yujie, Che, Liping, Wang, Mengjiao. User personality prediction based on topic preference and sentiment analysis using LSTM model [J]. Pattern Recognition Letters, PATTERN RECOGNITION LETTERS, 2020,138:397-402.

[26]Jing-hua Zhao, Da-lin Zeng, Ting-wei Zhou,Yan Hui , Na Sun. Analysis of Factors Affecting the Profits of Closed-loop Supply Chain Members under Different Subsidy Objects [J]. Computer Systems Science & Engineering,2020,35(3):127-139. 

[27]Jing-hua Zhao, Da-lin Zeng, Ting-wei Zhou, Ze-chao Zhu. Data Mining of Urban New Energy Vehicles in an Intelligent Government Subsidy Environment Using Closed-loop Supply Chain Pricing Model[J]. Computer Systems Science & Engineering, 2020, 35(3):151-172. 

[28]Jinghua Zhao, Na Sun,Wanyun Cheng. Logistics forum based prediction on stock index using intelligent data analysis and processing of online web posts [J]. Journal of Ambient Intelligence and Humanized Computing,2020,11:3575-3584. 

[29]Zhao Jinghua, Zeng Dalin, Liang Shuang, Kang Huilin, Liu Qinming. Prediction model for stock price trend based on recurrent neural network [J]. Journal of Ambient Intelligence and Humanized Computing, 2021,12:745–753. 

[30]Jinghua Zhao, Dalin Zeng, Jiangtao Qin, Hongming Si, Xiaofang Liu. Simulation and Modeling of Microblog-Based Spread of Public Opinions on Emergencies [J]. Neural Computing and Applications,2021,33:547-564. 

[31]Jinghua Zhao, Na Sun. Government subsidies-based profits distribution pattern analysis in closed-loop supply chain using game theory[J]. Neural Computing and Applications, 2020,32:1715-1724. 

(ESI热点论文)

[32]Lin, Hongbo, Zhao, Jinghua, Liang, Shuang, Kang, Huilin. Prediction model for stock price trend based on convolution neural network [J]. Journal of Intelligent & Fuzzy Systems, 2020,39(4): 4999-5008. 

[33]翁晓峰,赵敬华.传媒产业集聚过程中的正外部性研究——基于制度工程学[J].上海理工大学学报,2020,42(06):598-606. (校A)

[34]赵敬华,林杰.不同补贴对象下的闭环供应链定价模型[J].管理工程学报,2017,31(01):85-92.(基金委A)

[35]赵敬华,程婉芸.物流人员舆情指标与生产企业股票波动趋势预测实证研究[J].上海理工大学学报,2016,38(05):457-464.(校A)

 

主讲课程

管理博弈,数据库基础A

学术活动与社会服务

学术任职

2019.10- 至今, 理事, 上海市工程管理学会.

 

社会任职

Neural Computing and Application,客座编辑

Malaysian E-Commence  编委


荣誉