Dr. Yang Shi is currently Tenured Associated Professor at Shenzhen Audencia Financial Technology Institute/ WeBank Institute of Fintech (SWIFT), Shenzhen University. She received her Ph.D. degree in Marketing, Hong Kong University of Science and Technology (HKUST). Before joining SABS/SWIFT, Yang has worked at HKUST as a visiting assistant professor and then worked at Lingnan College, Sun Yat-sen University as an assistant professor. She has offered English courses for UG, MSC and MBA students. Yang is interested in applying statistical and economic models to solve marketing problems. Her research areas include quantitative marketing, advertising, media consumption, cross-channel marketing, influencer marketing, visual analysis, data mining, dynamic structural models, and financial marketing. Yang’s research has appeared in international top journals. Her research work was supported by the National Natural Science Foundation of China, Guangdong Planning Office of Philosophy and Social Science, etc.

Ph.D.in Marketing,Hong Kong University of Science and Technology (HKUST),2010/09—2015/11

BS in Management Information System, 2005/09-2009/07

Department of Statistics,Xiamen University, China

Ph.D.in Marketing,Hong Kong University of Science and Technology (HKUST),2010/09—2015/11

BS in Management Information System, 2005/09-2009/07

Department of Statistics,Xiamen University, China

AssociateProfessor(with Tenure),Shenzhen Audencia Financial Technology Institute/ WeBank Institute of Fintech, ShenzhenUniversity, 2025/01-

Assistant Professor,Shenzhen Audencia Financial Technology Institute/ WeBank Institute of Fintech, ShenzhenUniversity, 2019/07-2024/12

Assistant Professor, Department of Management, Lingnan College, Sun Yat-Sen University (SYSU), 2016/08 -2019/06

Visiting Assistant Professor, Department of Marketing, HKUST, 2016/01-2016/06

Visiting Scholar, Department of Marketing, HKUST, 2015/08-2015/12

Quantitative Marketing, Advertising, Media Consumption, Cross-channel Marketing, Influencer Marketing, Visual Analysis, Data Mining, Dynamic Structural Models, and Financial Marketing

1.Dalei Yu, Niansheng Tang，Yang Shi* (2024),“Adaptively Aggregated Forecast for Exponential Family Panel Model”, International Journal of Forecasting, Online, 19 July 2024. (SSCI , JCR Q1, ABS 3)

2.Yang Shi, Yuqing Yang*, Lianlian Song* (2024), “Understanding and Forecasting Consumer Sequential Multiscreening Behavior”, Electronic Commerce Research and Applications, 67, 101443. (SSCI, JCR Q1, ABS 2)

3.Yang Shi*, Ying Zhao, and Jun B. Kim (2023), “How Much does Ad Sequence Matter?: Economic Implication of Consumer Zapping and Zapping-induced Externality in Television Advertising Market”, Journal of Advertising, 52(2), 229-246. (SSCI , JCR Q1, ABS 3)

4.Lianlian Song, Yang Shi*, and Geoffrey Kwok Fai Tso (2022),“Commercial Audience Retention of Television Programs: Measurement and Prediction”, International Journal of Advertising, 41(3), 435-461. (SSCI , JCR Q1, ABS 2)

5.Lianlian Song, Yang Shi*, Geoffrey Kwok Fai Tso, and Hing-Po Lo (2021), “Forecasting Week-to-week Television Ratings Using Reduced-form and Structural Dynamic Models”, International Journal of Forecasting, 37(1), 302-321. (SSCI , JCR Q1, ABS 3)

6.Man Ching Kwan*, Dang Chu, C., Yang Shi (2020). Picture Or Text Superiority? the Two Forces of Element Size on Communication Effectiveness, Advances in Consumer Research, 48 (2020), 414-417. ISSN: 0098-9258

7.Yang Shi* and Ying Zhao (2019), “Modeling Advertisers’ Willingness to Pay in TV Commercial Slot Auctions”, Journal of Interactive Marketing, 48, 120-133. (SSCI , JCR Q1, ABS 3)

8.Yang Shi, Tingting Wang* (2019), “Genuine Liking or the Need for Closure? The Differential Effects of Consumers’ TV Drama Viewing Motivations on Commercial Viewership”, Journal of Media Economics, 32 (3-4), 57-81. (SSCI)

9.Hsieh, Beng-Yen*, and Yang Shi, “The Research on Customers with High Risk in Insurance of the Third Realm based on Data Mining”, (in Chinese, CSSCI-indexed) Statistics & Information Forum, 24.8 (2009), 91-96.

(* refers to the corresponding author)

1.National Natural Science Foundation of China, 2025/01-2028/12

2.Guangdong Planning Office of Philosophy and Social Science, 2024/03-2025/08

3.Shenzhen Natural Science Fund, 2021/01- 2022/12

4.Research Start-up Fund of SWIFT, Shenzhen University, 2019/07-2022/06

5.National Natural Science Foundation of China (Concluded with A Grade), 2018/01- 2020/12.

6.Research Start-up Fund of Lingnan College, Sun Yat-sen University, 2016/08-2019/06

Master’s Students: We are recruiting master’s students in the fields of business analytics and quantitative marketing. Candidates with backgrounds in mathematics, statistics, economics, or computer science, or those proficient in data analysis, programming, and modeling will be given priority consideration.

Senior Research Associate: Candidates who have obtained a Ph.D. in marketing, economics, statistics, computer science, information management, or related fields in recent years, or those who have met the qualifications for a Ph.D. degree, are eligible to apply for Researcher/Associate Researcher positions. The compensation package is highly competitive, including government and university subsidies. Additionally, outstanding applicants may receive an extra allowance from the school.

Postdoctoral Researcher: We are recruiting postdoctoral researchers specializing in quantitative marketing and influencer marketing research.

For detailed information, please refer to the university/school website or Email me.