Data Driven Modeling Social Media Influence using Differential Equations. - Bailu Jin; Weisi Guo (ASONAM, 2022)

Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. - Schyler C. Sun; Bailu Jin; Zhuangkun Wei; Weisi Guo (IJCAI, 2022)

Federated Learning of Wireless Network Experience Anomalies Using Consumer Sentiment. - Weisi Guo; Bailu Jin; Schyler C. Sun; Yue Wu 003; Weijie Qi; Jie Zhang 003 (ICAIIC, 2023)

Quality-of-Trust in 6G: Combining Emotional and Physical Trust through Explainable AI. - Chen Li; Weijie Qi; Bailu Jin; Panagiotis Demestichas; Kostas Tsagkaris; Yiouli Kritikou; Weisi Guo (VTC Fall, 2023)

Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network. - Mengbang Zou; Weisi Guo; Bailu Jin (CoRR, 2024)

Build An Influential Bot In Social Media Simulations With Large Language Models. - Bailu Jin; Weisi Guo (CoRR, 2024)

Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders. - Miguel Arana-Catania; Amir Sonee; Abdul-Manan Khan; Kavan Fatehi; Yun Tang 003; Bailu Jin; Anna Soligo; David Boyle 001; Radu Calinescu; Poonam Yadav; Hamed Ahmadi; Antonios Tsourdos; et al. (IEEE Open J. Commun. Soc., 2025)

How to find opinion leader on the online social network? - Bailu Jin; Mengbang Zou; Zhuangkun Wei; Weisi Guo (Appl. Intell., 2025)