Qili Wang
Ph.D. Student in Information Systems
Department of Information Systems and Operations Management
Warrington College of Business, University of Florida
Email: qili.wang@ufl.edu

I am open to collaboration opportunities in the field of empirical business research

EXPERIENCE

Ph.D. Student in Information Systems, University of Florida (Advisor: Liangfei Qiu)

2021 -


Ph.D. Student in Computer Science, Renmin University of China

2017 - 2021


B.Sc., Mathematics, Renmin University of China

2013 - 2017


B.Eng., Computer Science, Renmin University of China

2013 - 2017


B.Eng., Information Systems, Renmin University of China

2013 - 2017


RESEARCH INTEREST

Topics: Design Science, Business Intelligence, Fraud Detection, Online Communities

Methodologies: Machine Learning, Data Mining, Deep Learning, Econometrics


PUBLICATION

WORKING PAPERS

Qili Wang, Liangfei Qiu, Wei Xu, "Informal Payments and Doctor Engagement in Online Health Community: An Empirical Investigation Using Generalized Synthetic Control", invited for 2nd round major revision at Information Systems Research.

Xiaotong Sun, Qili Wang, Liangfei Qiu and Wei Xu, “Enhancing the Early Detection of Criminal Activities: An Internet of Things Enabled Paradigm”, under review at Management Science.

  • Best Paper Nomination, Workshop on Information Technologies and Systems (WITS), 2020
  • Wei Xu, Qili Wang, Raymond Yiu Keung Lau, “Automating First-party Fraud Detection in Digital Lending: A Theory-driven Data Mining Approach”, prepared for submission to Management Science.

    "The Effect of Store Closure on Customer Purchases: Evidence from a Multichannel Retailer", Work-in-Progress (with Liangfei Qiu, Ramkumar Janakiraman, and Subodha Kumar).

    "Online Commerce (Short title)", Work-in-Progress (with Xiang Wan, Liangfei Qiu, Hsing Kenneth Cheng and Wei Xu).


    JOURNAL PUBLICATIONS

    Xiaotong Sun, Wei Xu, Hongxun Jiang and Qili Wang, "A Deep Multitask Learning Approach for Air Quality Prediction", Annals of Operations Research (2021), forthcoming.

    Xinwei Zhang, Yaoci Han, Wei Xu and Qili Wang, "HOBA: A Novel Feature Engineering Methodology for Credit Card Fraud Detection with Deep Learning Architecture", Information Sciences (2021), 557, 302-316.

    Qili Wang, Wei Xu, Xinting Huang and Kunlin Yang, "Enhancing Intraday Stock Price Manipulation Detection by Leveraging Recurrent Neural Networks with Ensemble Learning", Neurocomputing (2019), 347, 46-58.

    Runyu Chen, Qili Wang and Wei Xu, "Mining User Requirements to Facilitate Mobile App Quality Upgrades with Big Data", Electronic Commerce Research and Applications (2019), 38, 100889.

    Qili Wang, Wei Xu and Han Zheng, "Combining the Wisdom of Crowds and Technical Analysis for Financial Market Prediction Using Deep Random Subspace Ensembles", Neurocomputing (2018), 299, 51-61.

    Wei Xu, Qili Wang and Runyu Chen, "Spatio-temporal Prediction of Crop Disease Severity for Agricultural Emergency Management Based on Recurrent Neural Networks", Geoinformatica (2018), 22, 363-381.


    CONFERENCE PAPERS

    Xiaotong Sun, Qili Wang, Liangfei Qiu and Wei Xu, “Enhancing the Early Detection of Criminal Activities: An Internet of Things Enabled Paradigm”, Workshop on Information Technologies and Systems (WITS), Virtual Conference, December 2020.

    Qili Wang, Liangfei Qiu and Wei Xu, "Impact of Informal Payments on Doctor Engagement in Online Health Community: An Empirical Investigation Using Generalized Synthetic Control", Conference on Information Systems and Technology (CIST), Virtual Event, November 2020.

    Qili Wang, Liangfei Qiu and Wei Xu, "The Impact of Informal Payments on Doctors’ Response in Online Healthcare Communities", POMS Annual Conference, Minneapolis, MN, April 2020. (Canceled)

    Xiaotong Sun and Qili Wang, "An Internet of Things Solution for Intelligence Security Management", International Conference on Information Systems (ICIS), Munich, Germany, December 2019.

    Xiaotong Sun, Qili Wang, Wei Xu and Yu Qin, "Smuggling Activity Detection in Smart Cities: A Perspective from Internet of Things", China Summer Workshop on Information Management (CSWIM), Shen Zhen, China, June 2019.

    Runyu Chen, Wei Xu and Qili Wang, "What Can Blockchain Contributes to Fintech? Insights from Cryptocurrency Projects", Symposium on Blockchain Technology and Application (SBTA), Hong Kong, China, January 2019.