collaborators

5 papers

cs.CV2026

Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection

Yihui Wang, Yonghui Yang, Jilong Liu +3

Deepfake detection suffers from poor generalization across forgery methods, as existing models tend to rely on spurious method-specific shortcuts that fail to transfer to unseen ma…

cs.LG2026

Sharpness-Aware Poisoning: Enhancing Transferability of Injective Attacks on Recommender Systems

Junsong Xie, Yonghui Yang, Pengyang Shao +1

Recommender Systems~(RS) have been shown to be vulnerable to injective attacks, where attackers inject limited fake user profiles to promote the exposure of target items to real us…

cs.IR2026

CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation

Hao Zhan, Yihui Wang, Yonghui Yang +6

Multimodal recommendation has emerged as an effective paradigm for enhancing collaborative filtering by incorporating heterogeneous content modalities. Existing multimodal recommen…

cs.IR2025

Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning

Yonghui Yang, Le Wu, Yuxin Liao +4

Graph-based social recommendation systems have shown significant promise in enhancing recommendation performance, particularly in addressing the issue of data sparsity in user beha…

cs.CY2025

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education

Pengyang Shao, Yonghui Yang, Chen Gao +6

Graph-based Cognitive Diagnosis (CD) has attracted much research interest due to its strong ability on inferring students' proficiency levels on knowledge concepts. While graph-bas…