12 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media
Jun Li, Xiangmeng Wang, Haoyang Li +5
Suicide is a critical global health issue that requires urgent attention. Even though prior work has revealed valuable insights into detecting current suicide risk on social media,…
cs.IR2022★ 12 cited
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation
Xiangmeng Wang, Qian Li, Dianer Yu +3
Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users' t…
cs.LG2021★ 2 cited
Be Causal: De-biasing Social Network Confounding in Recommendation
Qian Li, Xiangmeng Wang, Guandong Xu
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem results in the selection bias issue, degrading the recommendation performance ultimately. A com…