| 2026 | DASFAA | Inter-attribute Semantic Correlation-Guided Federated Recommender System Against Attribute Inference Attacks. | Qiwen Gu, Xuhao Zhao, Yanmin Zhu, Wenze Ma, Jiadi Yu, Feilong Tang |
| 2026 | DASFAA | Friend-Aware Contrastive Learning with Aligned Social Graph for Social Recommendation. | Zaisheng Ruan, Yanmin Zhu, Wenze Ma, Xuhao Zhao |
| 2026 | WSDM | Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders. | Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu |
| 2025 | KDD | Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation. | Chenhao Zhai, Chang Meng, Yu Yang, Kexin Zhang, Xuhao Zhao, Xiu Li |
| 2025 | SIGIR | Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation. | Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang |
| 2025 | SIGIR | Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems. | Xuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang |
| 2024 | IROS | Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards. | Zhaorun Chen, Zhuokai Zhao, Tairan He, Binhao Chen, Xuhao Zhao, Liang Gong, Chengliang Liu |
| 2024 | WSDM | MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. | Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang |
| 2023 | CIKM | Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. | Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang |