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
EXPERIENCE

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

2021 -


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

2017 - 2021


B.Sc., Mathematics (Major), 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: Business Analytics, Economics of Information Systems, Online Communities, Design Science

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


PUBLICATION

JOURNAL PUBLICATIONS

1. Qili Wang, Liangfei Qiu, and Wei Xu, "Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control," Information Systems Research, Forthcoming. (UTD 24, FT 50)

2. Kaiyu Zhang, Qili Wang, Liangfei Qiu and Nan Wang, "How Ad-Sponsored Model Affects Digital Content Creators: Evidence from a Web Novel Platform," Information Systems Research, Conditionally Accepted. (UTD 24, FT 50)


WORKING PAPERS

1. Xingchen Xu, Qili Wang, Yizhi Liu, and Liangfei Qiu, "Social Attention as a Reference Point: Evidence from a Field Experiment," Major Revision at Management Science.

2. Hui Yuan, Wei Xu, Qili Wang, and Liangfei Qiu, "Does Beauty Truly Matter? Examining the Impact of Beautiful Images in Service Operations Using Deep Learning Analytics," Minor Revision at Production and Operations Management.

3. Xiaotong Sun, Qili Wang, Liangfei Qiu, and Wei Xu, "Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats," Invited for Revision at INFORMS Journal on Computing.

4. Zhechao Yang, Qili Wang, Liangfei Qiu, and Hsing Kenneth Cheng, "Deciphering the Economic Value of Fashion Trends: Social Media Analysis Using Deep Multimodal Learning," Major Revision at Information Systems Research.

5. Yi Su, Kaiyu Zhang, Qili Wang, and Liangfei Qiu (all authors contribute equally), "Generative AI and Human Knowledge Sharing: Evidence from A Natural Experiment," Under review at Management Science.

6. Hui Yang, Qili Wang, Xianghua Lu, and Liangfei Qiu, "Routine or Exploration? How Personalization Opt-Out Affects Consumers’ Variety-Seeking Behaviors," Under review at Management Science.

7. Qili Wang, Xinzhi Rao, and Liangfei Qiu, "Do Masks Protect Children? Evidence from Ban on Mask Mandates in Florida," Under review at Management Science.

8. Zhechao Yang, Qili Wang, and Liangfei Qiu, "Interlopers or Catalysts? Dissecting the Impact of Incorporating AI Players on Multiplayer Online Games," Under review at Information Systems Research.

9. Yizhi Liu, Qili Wang, Xingchen Xu, and Liangfei Qiu, "Geotagged Echoes: Deciphering the Impact of Location Disclosure Policy on Online User Interactions," In preparation for submission.

10. Yi Su, Qili Wang, Liangfei Qiu, and Runyu Chen, "Navigating the Sea of Reviews: Unveiling the Effects of Introducing AI-Generated Summaries in E-Commerce," In preparation for submission.

11. "The Effect of Store Closure on Customer Purchases: Evidence from a Multichannel Retailer," In preparation for submission (with Liangfei Qiu, Ramkumar Janakiraman, and Subodha Kumar).

12. "NFT Market (Short title)," Work-in-Progress (with Kaiyu Zhang, Runyu Chen, and Liangfei Qiu).

13. "Online Community (Short title)," Work-in-Progress (with Jingyan Dai, Shu He, and Liangfei Qiu).

14. "App Store (Short title)," Work-in-Progress (with Shu He, and Liangfei Qiu).

15. "Technology and Food Outlets (Short title)," Work-in-Progress (with Xiaotong Sun).

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


OTHER JOURNAL PUBLICATIONS

1. Xiaotong Sun, Wei Xu, Hongxun Jiang, and Qili Wang, "A Deep Multitask Learning Approach for Air Quality Prediction", Annals of Operations Research (2021), 303, 51-79.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

  • Best Paper Nomination, Workshop on Information Technologies and Systems (WITS), 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.

    PROFESSIONAL SERVICE

    Invited Session Chair, POMS Annual Conference, Orlando, FL, May 2023

    Invited Session Chair, POMS Annual Conference, Orlando, FL, April 2022