OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. - Chenting Jiang; Weihua Li 007; Shiqing Wu 001; Quan Bai 001 (WISE (1), 2021)

An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks. - Chenting Jiang; Anthony D'Arienzo; Weihua Li 007; Shiqing Wu 001; Quan Bai 001 (J. Soc. Comput., 2021)

AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. - Yuxuan Hu 002; Shiqing Wu 001; Chenting Jiang; Weihua Li 007; Quan Bai 001; Erin Roehrer (IJCAI, 2022)

BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations. - Mengyan Wang; Yuxuan Hu 002; Zihan Yuan; Chenting Jiang; Weihua Li 007; Shiqing Wu 001; Quan Bai 001 (CoRR, 2023)

ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks. - Weihua Li 007; Yuxuan Hu 002; Chenting Jiang; Shiqing Wu 001; Quan Bai 001; Edmund M.-K. Lai (Appl. Soft Comput., 2023)

Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles. - Mengyan Wang; Yuxuan Hu 002; Shiqing Wu 001; Weihua Li 007; Quan Bai 001; Zihan Yuan; Chenting Jiang (IEEE Trans. Artif. Intell., 2025)