IntFair:Graph Neural Networks for Fair Recommendations with Interest Awareness. - Weiyang Guo; Yue Cui; Kai Zheng (DASFAA (3), 2024)

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming. - Weiyang Guo; Jing Li 034; Wenya Wang; Yu Li 007; Daojing He; Jun Yu; Min Zhang 005 (ACL (1), 2025)

Multi-objective Large Language Model Alignment with Hierarchical Experts. - Zhuo Li; Guodong Du 002; Weiyang Guo; Yigeng Zhou; Xiucheng Li; Wenya Wang; Fangming Liu; Yequan Wang; Deheng Ye; Min Zhang 005; Jing Li 034 (CoRR, 2025)

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning. - Weiyang Guo; Zesheng Shi; Zhuo Li; Yequan Wang; Xuebo Liu 002; Wenya Wang; Fangming Liu; Min Zhang 005; Jing Li 034 (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)