Publication & Project & Honor
Publications
Journals
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[JASM’22] Hong Cheng, Shenqinyu Zhu, Wenjie Pan. “Research on the Linkage between Inter-provincial Population Flow and House Price Fluctuation–Based on Quantile Granger Causality Test”, Journal of Applied Statistics and Management.2023 (CSSCI) (程宏、朱沈钦钰、潘文捷. “省际人口流动与房价波动联动性研究—基于分位数格兰杰因果检验”, 《数理统计与管理》, 2023) (CSSCI)
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[JASM’22] Ruoli Zhao, Yong Xie, Hong Cheng, Xingxing Jia,and Syed Zamad Shirazi. “ePMLF: Efficient and Privacy-preserving Machine Learning Framework based on Fog computing“, International Journal of Intelligent Systems. 2023 (SCI)
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[CSEM’21] Hong Cheng, Yihong Wang, Yunqing Wang, Tinggan Yang. “Inferring causal interactions in financial markets using conditional Granger causality based on quantile regression“, Computational Economics. 2021 (SSCI,SCI)
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[Chaos’20] Hong Cheng, David Cai, Douglas Zhou. “The Extended Granger Causality Analysis for Hodgkin-Huxley Neuronal Models“, Chaos 30: 103102. 2020 (SCI)
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[CES’19] 贺小娟,潘文捷,程宏. “基于集成学习方法的点击率预估模型研究”, 《计算机工程与科学》,2019, 041(012):2278-2284.(CSCD扩展,CCF推荐中文C类)
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[JSE’19] Hong Cheng, Tinggan Yang. “Research on contagion among stock markets of east asian based on conditional Granger causality in quantile”, Journal of System Engineering. 2019; (程宏、杨廷干. “基于分位数条件Granger因果的东亚股市传染研究”, 《系统工程学报》,2019接收, 2021年6月见刊)(CSCD核心)
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[JOQE’18] Hong Cheng, Wenjie Pan. “A Study on the Relativity of Stock Market Based on Copula ‘s Granger Causality Test in Quantiles”, The Journal of Quantitative Economics, 2018, 9(02): 78-101. (CSSCI) (程宏, 潘文捷. “基于Copula分位数格兰杰因果检验的股票市场相依性研究”,《数量经济研究》, 2018, 9(02): 78-101) (CSSCI)
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[IJPAM’15] Hong Cheng, Lan Guo. “Local Largest Lyapunov Exponent is critical to threshold voltage and refractory period“. Italian Journal of Pure and Applied Mathematics, Vol (34):189-200 June. 2015 (EI)
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[JCST’14] Hong Cheng, Lin Chen. “A Holistic Approach for Efficient Contour Detection“, Journal of Computer Science and Technology, 29 (6): 1038-1047 Nov. 2014 (SCI)
Books
- 程宏 著, “统计因果推断模型理论与应用–基于大脑网络及金融市场研究”,经济科学出版社,2020年7月,ISBN:978-7-5141-6222-6
Decision-Making Consultation(决策咨询)
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程宏、杨廷干 “面对经济下行压力,中国经济如何稳定发展?这个环节不能“掉链””, 上观新闻,2022年7月22日(同时被解放日报刊发 “金融服务不“掉链””)
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程宏、殷林森 “全国两会高度关注数字经济发展,金融如何助力产业数字化转型?”, 上观新闻,2022年3月11日
Conferences
- [ICCEIS2014] Hong Cheng, Jianhui Shang, Chao Zhang, “Object Extraction By Superpixel Grouping”. Proceedings of the International Conference on Control Engineering and Information System, pp:725-732, 2015. (EI-Compendex)
Preprint Papers
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Yang Li, Hong Cheng, Qiliang Wang. (Submitted). Exploring the Spatial Impact of Sci-Tech Finance on High-Quality Economic Development: A Regression Estimation Utilizing Entropy Weight Method, Text Analysis, and Spatial Autoregressive Model.
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Hong Cheng, Xiaojun Song. (Submitted). A nonparametric test for Granger-causality—Specification in quantile models.
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Jie Ni, Jiayi Qian, Yixiao Lu, Hong Cheng. The thermal power generation and economic growth in central and western China: A heterogeneous mixed panel Granger-Causality approach. (https://arxiv.org/abs/2011.12161)
Working
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Hong Cheng, Yuping Wang. (Working). Exploring connectivity with Sparse Causality Neural Network Model on resting-state functional MRI.
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Hong Cheng, Yuping Wang. (Working). Communication dynamics sparse Causality network patterns from resting-state fMRI.
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Hong Cheng, Changgui Gu. (Working). Coherence and Stochastic resonance in stochastic Hodgkin-Huxley neuronal networks.
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Hong Cheng, Changgui Gu. (Working). Spike timing reliability and precision of Hodgkin-Huxley neurons with ion-channel noise.
Presentations
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“Conditional Granger causality tests based on quantile regression for the complexity of relations in financial markets”, SEM 2018-5th Annual Conference (SEM2018), Xiamen, China, June 8–10, 2018
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“Conditional Granger causality tests in quantile regression”, 2018 Symposium on Data Science & Statistics, Reston, Virginia, USA, May 16–19, 2018
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“Granger Causality in Sparse Neuronal Network”, The Multiscale Bioimaging and Bioinformatics Laboratory (MBB), Tulane University, USA, January. 10, 2018
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“Specification tests for Conditional Granger causality in quantiles”, Workshop on Data Analysis and Nonlinear Dynamic System, Shanghai Lixin University of Accounting and Finance, June. 27, 2017
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“Object Extraction By Superpixel Grouping”, The Ph.D. Candidate Forum on Computational and Applied Mathematics, Department of Mathematics, Ministry of Education Key Laboratory of Scientific and Engineering Computing, and Institute of Natural Sciences, Shanghai Jiao Tong University, Oct.13, 2012
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“大脑神经元网络的因果关系重建”, The Seminar of Young Scholars on Complex Network, University of Shanghai for Science and Technology, May.13, 2015
Projects
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2022年度上海立信会计金融学院青年骨干教师创新团队建设项目、 “面板分位数格兰杰因果检验及其应用研究(CXTD2022006)”、 “2022/5-2024/4”、 进行中、 主持
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2021年度上海立信会计金融学院金融科技研究专项课题、 “产业数字化中的金融支持问题及对策”、 “2021/8-2021/12”、 已结题、 主持
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2021年度上海立信会计金融学院财经大数据中心创新课题、 “基于财经大数据案例的数据科学实验软件“、 “2021/9-2021/11”、 已结题、 主持
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2021杭州萧山区第一批创新创业“5213”计划项目(领航类)、 “工业互联网操作系统HOS-Cloud”、 “2021/6-2024/6”、 进行中、 主持
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2019年服务上海与长三角区域一体化发展战略项目(课题)、 “进一步推动人工智能与实体经济融合提高上海经济高质量发展研究”、 “2019/6-2019/12”、 已结题、 主持
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Shanghai Sailing Program、16YF1415900、“Extended Granger Causality for Hodgkin-Huxley Neuronal Network”, 2016/6-2019/5, PI
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Shanghai Young Teachers Training Funding Program、ZZSGJR15045、“The Dynamics of Brain Neuron Model”, 2016/6-2018/6, PI
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The Construction Project of Statistics-A first level discipline,Shanghai Lixin University of Accounting and Finance、“Nonparametric Granger Causality tests in quantiles”, 2017/10-2019/10, PI
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Young Teachers Academic Funding Program of Shanghai Lixin University of Accounting and Finance、“Granger causality in quantiles based dependence of Finance Markets”、2017/6-2017/12、PI
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Teaching Reform Project of Shanghai Lixin University of Accounting and Finance、AW-12-2203-005062、“The issue of Business Statistics curriculum reform”、2017/05-2018/04、PI
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National Academic Competitions of Shanghai Lixin University of Accounting and Finance、 “China University Student’s Statistical Contest in Modeling”、2017/05-2017/10、PI
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National Natural Science Foundation of China、No. 11101275、“The research and application of integrate-and-fire neuronal network”, 2012/01-2014/12, Participant
Patents(专利)
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发明创造专利: 基于雾计算的高效隐私保护机器学习框架及方法,发明人:程宏、刘琼、李魏峰、王胜、韩彩亮;申请人:汇鼎数据科技(上海)有限公司,公布号:CN115983404A
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发明创造专利: 基于绩效评价模型的离散制造业多厂协同生产优化方法,发明人:程宏、陆一啸、刘琼、王胜、韩彩亮;申请人:汇鼎数据科技(上海)有限公司,公布号:CN115936290A
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发明创造专利: 流程制造生产计划策略确定方法、系统及装置,发明人:程宏、刘琼、王胜、李魏峰、韩彩亮;申请人:杭州田涧云工业科技有限公司,公布号:CN114819601A
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发明创造专利: 数字工厂上下游企业画像评价方法以及系统,发明人:程宏、韩彩亮、陆一啸、顾兵兵;申请人:汇鼎数据科技(上海)有限公司,公布号:CN114298472A
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发明创造专利(已授权): 一种基于AI分析技术的仓储库存状态感知方法,发明人:韩彩亮、程宏、葛亚东;申请人:汇鼎数据科技(上海)有限公司,公布号:CN111598158A 专利号:ZL 2020 1 0406537.3
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发明创造专利: 一种基于AI分析技术的车辆识别感知方法,发明人:韩彩亮、程宏、葛亚东;申请人:汇鼎数据科技(上海)有限公司,公布号:CN111598154A
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发明创造专利: 数字工厂运营状态预测方法、系统、装置,发明人:韩彩亮、程宏;申请人:汇鼎数据科技(上海)有限公司,公布号:CN110956331A
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发明创造专利: 数字工厂生产产能预测方法、系统、装置,发明人:韩彩亮、程宏;申请人:汇鼎数据科技(上海)有限公司,公布号:CN110969304A
Software Copyright(软件著作权)
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Citrend供应链中小企业经营质量评价软件V1.0,登记号:2021SR2092180,国家计算机软件著作权(2021年12月)
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QuestionGo机器学习教学实验软件V1.0,登记号:2020SR701999,国家计算机软件著作权(2020年12月)
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教学科研管理一体化软件V1.0,登记号:2020SR0961645,国家计算机软件著作权(2020年8月)
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市政工程类绩效评价软件系统,登记号:2017SR659761,国家计算机软件著作权(2017年11月)
Honors(荣誉)
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青海民族大学2022年度优秀挂职干部,2023年1月
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上海立信会计金融学院2022年度考核优秀,2023年1月
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上海立信会计金融学院 2021年度教学成果奖 二等奖 3/3,2021年4月
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上海立信会计金融学院 2020年度教学优秀奖 三等奖,2020年12月
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上海立信会计金融学院2020年度考核优秀,2020年12月
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上海立信会计金融学院 2019年度教学成果奖 二等奖 1/5,2019年7月