
Hong Cheng received a B.S degree in electronic and information engineering from the School of Communications and Electronics at Jiangxi Science and Technology Normal University, Nanchang, China, in 2008, and a Ph.D.degree in Mathematics from the Department of Mathematics and Institute of Natural Science, Shanghai Jiao Tong University, Shanghai, China, in 2015. Now, he is an associate professor at Shanghai Lixin University of Accounting and Finance, vice dean at the Institute of Financial Studies of Qinghai Institute of Technology, and Director of Qinghai Provincial Key Laboratory of Big Data in Finance and Artificial Intelligence Application Technology. His research interests computational and theoretical neuroscience, including the understanding of the relationship between the structure and functions of biological neuronal networks, the discovery of potential mechanisms underlying information processing in the brain, Complex networks, Time series analysis, Deep learning, and Big data, Brain network, and brain cognition. He is a CCF senior member and, 2016 Shanghai “Sailing Scholar”.
Recent News
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16/12/2024, 在中共上海市委金融委员会办公室、上海市经济和信息化委员会指导下,上海市人工智能行业协会和上海金融业联合会联合发布全国首个以金融业务能力为核心的团体标准《金融大模型应用评测指南》,张立文教授、程宏副教授参与团体标准起草,上海立信会计金融学院、青海省大数据金融与人工智能应用技术重点实验室为起草单位之一
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2/12/2024, 程宏副教授 申报的《金融强国指数视角下的上海高水平金融对外开放探索研究》获2024年度上海市哲学社会科学规划课题立项
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22/07/2024-25/07/2024, 《AI赋能混合式教学创新实践——数字素养提升研讨会》(青海省大数据金融与人工智能应用技术重点实验室 主办方之一)在青海理工学院 顺利召开
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06/01/2024, 《金融大模型研讨会暨FinGPT成果展示会》(青海省大数据金融与人工智能应用技术重点实验室 主办方) 在青海理工学院 顺利召开
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14/08/2023, 2023年新建省级重点实验室 《青海省大数据金融与人工智能应用技术重点实验室》 获青海省科学技术厅批准
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18/05/2023, 入选青海省“昆仑英才高端创新创业人才”计划 领军人才(柔性)
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16/12/2022, 被聘为青海民族大学 金融专硕 硕士研究生导师
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30/11/2022, Ruoli Zhao, Yong Xie, Hong Cheng, Xingxing Jia, Syed hamad shirazi. “ePMLF: Efficient and Privacy-preserving Machine Learning Framework based on Fog computing” has been accepted for publication in International Journal of Intelligent Systems
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09/10/2022, 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” 被《数理统计与管理》 接收 (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, Accepted.)
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22/07/2022, 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”” 被《上观新闻》刊发,同时被解放日报刊发 “金融服务不“掉链””
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10/06/2022, 被聘任为青海理工大学筹建阶段金融研究院 副院长
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11/03/2022, 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?” 被《上观新闻》刊发
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10/05/2021-30/04/2024, Hong Cheng will serve temporary position at Shanghai Municipal People’s Govement Office in Xining, QingHai, Province.(2021年5月-2024年4月 挂职 上海市人民政府驻西宁办事处)
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12/02/2021, Hong Cheng, Yunqing Wang, Yihong Wang, Tinggan Yang. “Inferring causal interactions in financial markets using conditional Granger causality based on quantile regression” has been accepted for publication in Computational Economics
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14/09/2020, Hong Cheng, David Cai, Douglas Zhou. “The Extended Granger Causality Analysis for Hodgkin-Huxley Neuronal Models” has been accepted for publication in Chaos: An Interdisciplinary Journal of Nonlinear Science and is tentatively scheduled for publication in the October, 2020 issue
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08/09/2020, 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” 出版, 2020年,经济科学出版社, ISBN:978-7-5141-6222-6
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16/08/2019, 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” 被《计算机工程与科学》 接收
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21/02/2019, 程宏, 杨廷干. “基于分位数条件Granger因果的东亚股市传染研究” 被《系统工程学报》 接收 (Hong Cheng, Tinggan Yang. “Research on contagion among stock markets of east asian based on conditional Granger causality in quantile”, Journal of System Engineering, Accepted.)
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07/10/2017-30/09/2018, Hong Cheng will as a visiting scholar at CIMS-NYU ( Courant Institute of Mathematical Sciences, 2017.09-2018.09) New York, U.S.A. in the group of Prof. David Cai
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28/11/2017-10/04/2018, Hong Cheng will as a research scientist at The Multiscale Bioimaging and Bioinformatics Laboratory (MBB), Tulane University New Orleans, LA 70112, U.S.A. in the group of Prof. YuPing Wang
Contact Me
Office: WenBo Building, Room 213
Faculty of School of Statistics and Mathematics
Shanghai LiXin University of Accounting and Finance, Pudong District, Shanghai, China
Email: clx_2010@sjtu.edu.cn | hcheng@cims.nyu.edu