Predicting Consumer Information Search Benefits for Personalized Online Product Ranking: a confidence-Based Approach. - Mingyue Zhang 001; Xunhua Guo; Guoqing Chen; Qiang Wei 001 (PACIS, 2014)

Discovering Consumers' Purchase Intentions Based on Mobile Search Behaviors. - Mingyue Zhang 001; Guoqing Chen; Qiang Wei 001 (FQAS, 2015)

Order Effects in Online Product Recommendation: A Scenario-based Analysis. - Xunhua Guo; Mingyue Zhang 001; Chenyue Yang; Guoqing Chen (AMCIS, 2016)

Complements and Substitutes in Product Recommendations: The Differential Effects on Consumers' Willingness-to-pay. - Mingyue Zhang 001; Jesse C. Bockstedt (IntRS@RecSys, 2016)

Predicting the Incremental Benefits of Online Information Search for Heterogeneous Consumers. - Hao Wang; Xunhua Guo; Mingyue Zhang 001; Qiang Wei 001; Guoqing Chen (Decis. Sci., 2016)

Prediction uncertainty in collaborative filtering: Enhancing personalized online product ranking. - Mingyue Zhang 001; Xunhua Guo; Guoqing Chen (Decis. Support Syst., 2016)

Maximizing the Influence in Social Networks via Holistic Probability Maximization. - Mingyue Zhang 001; Xuan Wei; Guoqing Chen (Int. J. Intell. Syst., 2018)

How "small" reflects "large"? - Representative information measurement and extraction. - Guoqing Chen; Cong Wang 043; Mingyue Zhang 001; Qiang Wei 001; Baojun Ma (Inf. Sci., 2018)

The Effectiveness of Non-Persistent Social Status as an Incentive Mechanism. - Xuan Wei; Mingyue Zhang 001; Daniel Dajun Zeng (PACIS, 2019)

From free to paid: Customer expertise and customer satisfaction on knowledge payment platforms. - Jin Zhang 017; Jilong Zhang; Mingyue Zhang 001 (Decis. Support Syst., 2019)

Identifying Complements and Substitutes of Products: A Neural Network Framework Based on Product Embedding. - Mingyue Zhang 001; Xuan Wei; Xunhua Guo; Guoqing Chen; Qiang Wei 001 (ACM Trans. Knowl. Discov. Data, 2019)

Learning from Crowd Labeling with Semi-crowdsourced Deep Generative Models. - Xuan Wei; Mingyue Zhang 001; Daniel Dajun Zeng (ChineseCSCW, 2020)

A matter of reevaluation: Incentivizing users to contribute reviews in online platforms. - Mingyue Zhang 001; Xuan Wei; Daniel Dajun Zeng (Decis. Support Syst., 2020)

Complements and substitutes in online product recommendations: The differential effects on consumers' willingness to pay. - Mingyue Zhang 001; Jesse C. Bockstedt (Inf. Manag., 2020)

Your posts betray you: Detecting influencer-generated sponsored posts by finding the right clues. - Rong-Ping Shen; Dun Liu; Xuan Wei; Mingyue Zhang 001 (Inf. Manag., 2022)

Combining Crowd and Machine Intelligence to Detect False News on Social Media. - Xuan Wei; Zhu Zhang; Mingyue Zhang 001; Weiyun Chen; Daniel Dajun Zeng (MIS Q., 2022)

Understanding the Role of Bounty Awards in Improving Content Contribution: Bounty Amount and Temporal Scarcity. - Min Yu; Mingyue Zhang 001; Baojun Ma (PACIS, 2023)

Understanding Users' Ask Intention on Paid Q&A Platform from the Perspective of Impression Management. - Peiyao Liang; Mingyue Zhang 001; Baojun Ma (WHICEB (1), 2023)

First Things First? Order Effects in Online Product Recommender Systems. - Xunhua Guo; Lingli Wang; Mingyue Zhang 001; Guoqing Chen (ACM Trans. Comput. Hum. Interact., 2023)

Zero is hero: Round number effects on knowledge-sharing platforms. - Mingyue Zhang 001; Tiancheng Zhu; Yu Xu; Baojun Ma (Inf. Manag., 2023)

AI-centered vs. Human-centered: Exploring Users' Attitude toward AIGC in Varying Forms of Human-AI Collaboration. - Mingyue Zhang 001; Yu Xu; Xuan Wei (PACIS, 2024)