Working Experience

2024 - now: Associate Professor, Antai College of Economics and Management, Shanghai Jiao Tong University

2020 - 2023: Assistant Professor, Antai College of Economics and Management, Shanghai Jiao Tong University

Education

2015-2020: Ph.D, Eller College of Management, University of Arizona

2010-2014: B.S., School of Mathematical Science, Shanghai Jiao Tong University

Academic Awards

2020: Chinese Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW, Best Paper Award

2018: Workshop on Information Technologies and Systems, Best Paper Award

2017: INFORMS Workshop on Data Science, Best Paper Award Runner-up

Email: weix[at]sjtu.edu.cn

Chinese Version, Google Scholar

Research Interests

Artificial intelligence, Large Language Models (LLMs), crowd intelligence, human-AI interaction and collaborative decision making, social media analytics

Publications

1. Xuan Wei, Mingyue Zhang, Qingpeng Zhang, Zhi Li, Daniel Zeng, Human-Algorithm Collaborative Truth Inference in Crowdsourcing, INFORMS Journal on Computing, forthcoming. 

2. Mingyue Zhang, Jesse Bockstedt, Tingting Song, Xuan Wei (2025), Sunk Cost Fallacy, Price Adjustment, and Subscription Services for Information Goods, Journal of the Association for Information Systems, 26 (2), 543-574. 

3. Xuan Wei, Zhu Zhang, Mingyue Zhang, Weiyun Chen, and Daniel Dajun Zeng (2022), Combining Crowd and Machine Intelligence to Detect False News on Social Media, MIS Quarterly, 46 (2), 977-1008.

4. Zhu Zhang, Xuan Wei, Xiaolong Zheng, Qiudan Li, and Daniel Dajun Zeng (2022), Detecting Product Adoption Intention via Multiview Deep Learning, INFORMS Journal on Computing, 34 (1), 541-556.

5. Yang Ye, Qingpeng Zhang, Xuan Wei, Zhidong Cao, Sean H.Y. Yuan, and Daniel Dajun Zeng (2022), Equitable Access to COVID-19 Vaccines Makes a Lifesaving Difference to All Countries, Nature Human Behaviour, 6 (2), 207-216.

6. Zhu Zhang, Xuan Wei, Xiaolong Zheng, and Daniel Dajun Zeng (2021), Predicting Product Adoption Intentions: An Integrated Behavioral Model-Inspired Multiview Learning Approach, Information & Management, 58(7), 103484.

7. Rongping Shen, Dun Liu, Xuan Wei, Mingyue Zhang (2022), Your Posts Betray You: Detecting Influencer-Generated Sponsored Posts by Finding the Right Clues, Information & Management, 59 (8), 103719.

8. Mingyue Zhang, Xuan Wei, and Daniel Dajun Zeng (2020), A Matter of Reevaluation: Incentivizing Users to Contribute Reviews in Online Platforms. Decision Support Systems, 128, 113158. 

9. Mingyue Zhang, Xuan Wei, Xunhua Guo, Guoqing Chen, and Qiang Wei (2019), Identifying Complements and Substitutes of Products: A Neural Network Framework Based on Product Embedding. ACM Transactions on Knowledge Discovery from Data (TKDD), 13(3), 1-29. 

10. Mingyue Zhang, Xuan Wei, and Guoqing Chen (2018), Maximizing the Influence in Social Networks via Holistic Probability Maximization. International Journal of Intelligent Systems, 33(10), 2038-2057. 

Journal Editors

1. Decision Support Systems, Associate Editor, 2025 - now

Selected Working Paper

1. Yanbin Fang, Xuan Wei, Wei Chen, WILC: A Wisdom Integration Framework for LLM Crowds

2. Mingyue Zhang, Yu Xu, Xuan Wei, Han Zhang, AI-centered vs. Human-centered: Understanding Users’ Response toward AI-generated Content across Varying Modes of Human-AI Collaboration in Online Communities

3. Xuan Wei, Jiayu Yao, Mingyue Zhang, Karen Xie, Wei Chen, Does Region Disclosure Backfire? Evidence from Online User Speech with Large Language Model Analytics

Undergraudate Courses

1. Introduction to Programming (Python):       2021 Spring, 2022 Spring, 2023 Spring, 2024 Spring, 2025 Spring

2. Computational Text Analysis:                      2021 Spring, 2022 Spring, 2023 Spring, 2025 Spring

3. MATLAB Programming and Modeling:       2020 Fall, 2021 Fall, 2022 Fall

4. Text Analysis & Large Language Models:   2026 Spring (scheduled)

MBA Courses

1. Computational Text Analysis (Pre-MBA Course): 2025 Summer