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    667722黄金城电子游戏:科研成果通报:陈冬宇教授在权威期刊MISQ发表研究成果

    发布者:殳妮   发布时间:2022-09-13   浏览次数:10

    科研成果通报:陈冬宇教授在权威期刊MISQ发表研究成果

    Prof. Chen’s Pub. on MISQ


    20229月,智慧供应链研究中心成员陈冬宇教授与美国本特利大学徐洁教授、香港中文大学Michael Chau教授、西南财经大学:3淌诤屠盍㈡貌┦亢献鞯难芯柯畚摹Peer-to-peer loan fraud detection: Constructing features from transaction data”在信息管理领域权威期刊MIS Quarterly(MISQ)发表。陈冬宇教授是该论文的第二和通讯作者。MISQUTD24FT50期刊。

    In September 2022, Prof. Dongyu Chen’s paper, entitled “Peer-to-peer loan fraud detection: Constructing features from transaction data”, is published in MIS Quarterly (MISQ). This is joint work with Prof. Jennifer Xu (Bentley University), Prof. Michael Chau (The University of Hong Kong), Prof. Haichao Zheng, and Dr. Liting, Li (Southwestern University of Finance and Economics). MISQ is a journal listed in UTD24 and FT50.

    该研究针对网络借贷市场中借款欺诈行为,提出了一种基于行为特征的欺诈线索识别思路。研究结果表明整合了基础特征和五类额外行为特征的识别模型能够显著提升欺诈识别效果。该研究成果对于金融领域欺诈识别研究和实践具有一定启示意义。该项研究得到了国家自然科学基金项目资助(批准号:7177115972071160)和教育部项目资助(批准号 18YJAZH142)。

    This paper aims to detect loan fraud in the online peer-to-peer market. It proposes a method to identify fraudulent cues through behavioral features. The evaluation results show that combining these additional features with the baseline features significantly enhances detection performance. This research contributes novel knowledge to the financial fraud detection literature and practice. This research is partly funded by the Natural Science Foundation of China under grants #71771159 and #72071160 and by the Chinese Ministry of Education under grant #18YJAZH142.


    陈冬宇教授于北京航空航天大学获得管理科学与工程博士学位,主要研究方向为金融科技和信息管理,包括网络借贷、众筹等。主持国家自然科学基金项目2项,在MISQ、IJEC、CAIS,管理科学学报、南开管理评论、科研管理等期刊发表多篇论文。

    Prof. Dongyu Chen obtained his Ph.D. from Beihang University. His research interests include online lending, crowdfunding, and information management. He has received two research grants from the National Natural Science Fund of China. His work on these topics has been published in MIS Quarterly, Communications of the Association for Information Systems, International Journal of Electronic Commerce, and other outlets.


    论文链接: https://misq.umn.edu/peer-to-peer-loan-fraud-detection-constructing-features-from-transaction-data.html

    个人主页:http://web.suda.edu.cn/chendongyu/



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