Prof. Yifan YU
Innovation and Information Management
Associate Professor
Academic & Professional Qualification
  • Ph.D. in Information Systems, University of Washington
  • Master of Science, Business Administration and Management, University of Washington
  • Master of Management Science and Engineering, Tsinghua University
  • Bachelor of Information Management and Information Systems, Tsinghua University
Biography

Yifan Yu is an Associate Professor of Innovation and Information Management at HKU Business School, The University of Hong Kong. He was an Assistant Professor of the Department of Information, Risk, and Operations Management at the McCombs School of Business, The University of Texas at Austin. He received bachelor’s and master’s degrees in Management Science and Engineering at the School of Economics and Management, Tsinghua University, and a Ph.D. degree in Information Systems at Michael G. Foster School of Business, University of Washington.

His research centers on business technologies and human behaviors. In particular, he studies (1) the economics of artificial intelligence (AI) and machine learning; (2) business analytics leveraging unstructured data (i.e., text, images, videos, networks, behavioral sequences); and (3) business technologies to address societal challenges. He applies AI, machine/deep learning, econometrics, game-theoretical modeling, and experimental methods to tackle questions in these fields. He has published in top journals in the area of Information Systems (Information Systems Research, MIS Quarterly, and Management Science). He received the INFORMS ISS Gordon B. Davis Young Scholar Award in 2025. His work has won several best paper awards or nominations at the top Information Systems conferences (e.g., INFORMS, CIST, and WITS). He currently serves as the cluster chair for the INFORMS College of AI.

His teaching experience includes AI in business, machine learning, data science, data management, and business data communication. He taught both undergraduate- and master-level courses. He received teaching awards from the Ph.D. program of the Foster School of Business (in 2022) and from the Department of Information Systems and Operations Management (in 2021) at University of Washington.

He had research collaborations with several large-scale tech companies (e.g., Amazon and WeChat), working as an applied or research scientist. Before he started a career in academic research, he worked as a consultant or investment manager in management consulting firms (BCG, Roland Berger, and Deloitte), venture capital, and private equity companies. Besides, he established an online platform company with two partners in 2015 and worked as an entrepreneur for two years. He enjoys volunteer work. He worked as the president of the Tsinghua Cyrus Tang Volunteer Association from 2014 to 2015. He received the Top 10 Volunteers of Tsinghua Graduate Students award in 2017.

Teaching
  • Artificial Intelligence in Businesses
  • Data Science and Data Management
  • Digital Economy and Digital Innovation
Research Interest
  • Emotion/Compassionate AI
  • Economics of Information Systems
  • Unstructured Data Analytics
  • Social Media Networks
Selected Publications
  • Zhang, W. Xue, Y. Yu, and Y. Tan, “Debiasing ML- or AI-Generated Regressors in Partial Linear Models,” Information Systems Research, Forthcoming.
  • Y. Yu, W. Xue, L. Jia, and Y. Tan, “When Emotion AI Meets Strategic Users,” Management Science, 72(1) 627-645, 2026.
  • Y. Yu, S. Huang, Y. Liu, and Y. Tan, “Emotions in Online Content Diffusion,” Information Systems Research, 37(1) 398-415, 2026.
  • Y. Yu, X. Wang, J. Huang, and Y. Tan, “The Pleasant Visual Path to Review Helpfulness: Picture-Evoked Emotional Valence and Picture-Text Alignment,” MIS Quarterly, 50(1): 243–268, 2026.
  • Y. Yu, J.X. Tan, and Y. Tan, “Understanding Volunteer Crowdsourcing from a Multiplex Perspective,” Information Systems Research, 36(1) 107-125, 2025.
  • Y. Yu, Y. Yang, J. Huang, and Y. Tan, “Unifying Algorithmic and Theoretical Perspectives: Emotions in Online Reviews and Sales,” MIS Quarterly, 47(1) 127-160, 2023.
  • T. Song, J. Huang, Y. Tan, and Y. Yu, “Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms,” Information Systems Research, 30(1) 191-203, 2019.
Awards and Honours
  • INFORMS ISS Gordon B. Davis Young Scholar Award 2025
  • Meritorious Reviewer Award, INFORMS Journal on Computing, 2025
  • Best Student Paper Award, Third Place, INFORMS Social Media Analytics Section 2025
  • Best Paper Award Nomination, INFORMS eBusiness Section 2025
  • Best Paper Award Nomination, China Summer Workshop on Information Management (CSWIM) 2025
  • Best Paper Award Runners-up, INFORMS Information Systems Cluster, 2024
  • McCombs Research Excellence Grant (REG), 2024
  • Best Student Paper Award Nomination, INFORMS Workshop on Data Science (DS), 2024
  • Nomination to the Graduate School Distinguished Dissertation Award, University of Washington, 2024
  • Best Reviewer Award, INFORMS Workshop on Data Science (DS), 2023
  • Best Student Paper Award of INFORMS Social Media Analytics Section, Finalist, 2023
  • Popular Vote Poster Award, California Econometrics Conference, 2023
  • Top 10% of Authors on the Social Science Research Network (SSRN) by Total New Downloads, Feb. 2022 – Feb. 2023
  • Best Student Paper Award of INFORMS Social Media Analytics Section, Runner-up, 2022
  • Best Paper Award Nomination of Workshop on Information Technologies and Systems (WITS), 2022
  • Ph.D. Program Teaching Award, Foster School of Business, University of Washington, 2022
  • Outstanding Research Award, Department of Information Systems and Operations Management, University of Washington, 2022
  • Dean’s Achievement Award, Foster School of Business, University of Washington, 2021
  • Outstanding Teaching Award, Department of Information Systems and Operations Management, University of Washington, 2021
  • Research proposal “Understanding Video Advertising Effectiveness” won Amazon Research Awards, 2021
  • Best Student Paper Award of INFORMS Social Media Analytics Section, Finalist, 2021
  • Best Paper Runner-up and Best Student Paper Nomination at Conference on Information Systems and Technology (CIST) 2020
  • Evert McCabe endowed Ph.D. Fellow in 2018-2022
  • China Information Economics Society Outstanding Achievement Award in 2019
  • Outstanding Graduates of Beijing (for Masters) in 2018
  • Outstanding Graduates of Tsinghua University (for Master) in 2018
  • Tsinghua University Outstanding Thesis Award (for Master) in 2018
  • China National Scholarship for Graduate Students in 2017
  • Top 10 Volunteers of Tsinghua Graduate Students in 2017
  • Outstanding Graduates of Beijing in 2016
  • Outstanding Graduates of Tsinghua University in 2016
  • China National Scholarship for Undergraduate Students in 2016
  • Championship in Accenture IT Business Case Competition 2016
  • Championship in Roland Berger Workshop Case Competition 2015
  • F.C. Tseng Scholarship in 2014
  • Cyrus Chung Ying Tang Scholarship from 2012 to 2016
Service to the University/ Community
  • Cluster Chair, INFORMS College on Artificial Intelligence (CAI)
  • Associate Editor, Decision Sciences (DSJ), Department of AI in Operations, IS, and Supply Chains. 2026-2029
  • Editorial Review Board (ERB) Member, Information Systems Research (ISR), 2026-2028
  • Social Media Manager, Information Systems Research (ISR), 2026-2028
  • Editorial Review Board (ERB) Member, Information Systems Research (ISR), Special Issue on “Analytical Creativity,” 2023