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

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

Identifying Complements and Substitutes of Products: A Neural Network Framework Based on Product Embedding. - Mingyue Zhang 001; Xuan Wei 001; 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 001; 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 001; Daniel Dajun Zeng (Decis. Support Syst., 2020)

Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach. - Zhu Zhang; Xuan Wei 001; Xiaolong Zheng 001; Daniel Dajun Zeng (Inf. Manag., 2021)

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

Detecting Product Adoption Intentions via Multiview Deep Learning. - Zhu Zhang; Xuan Wei 001; Xiaolong Zheng 001; Qiudan Li; Daniel Dajun Zeng (INFORMS J. Comput., 2022)

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

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