Sequence Unlearning for Sequential Recommender Systems. - Shanshan Ye; Jie Lu 001 (AI (1), 2023)

Training-free LLM Merging for Multi-task Learning. - Zichuan Fu; Xian Wu 001; Yejing Wang; Wanyu Wang; Shanshan Ye; Hongzhi Yin; Yi Chang 001; Yefeng Zheng 001; Xiangyu Zhao 001 (ACL (1), 2025)

Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. - Shanshan Ye; Jie Lu 001; Guangquan Zhang 001 (WWW, 2025)

Out-of-Distribution Detection with Virtual Outlier Smoothing. - Jun Nie; Yadan Luo; Shanshan Ye; Yonggang Zhang 003; Xinmei Tian 001; Zhen Fang 001 (Int. J. Comput. Vis., 2025)

Robust Recommender Systems with Rating Flip Noise. - Shanshan Ye; Jie Lu 001 (ACM Trans. Intell. Syst. Technol., 2025)

Robust Learning under Hybrid Noise. - Yang Wei; Shuo Chen 003; Shanshan Ye; Bo Han 003; Chen Gong 002 (ACM Trans. Intell. Syst. Technol., 2025)

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach. - Yiyuan Yang; Guodong Long; Tianyi Zhou 001; Qinghua Lu 001; Shanshan Ye; Jing Jiang 002 (CoRR, 2025)

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation. - Maolin Wang 001; Yutian Xiao; Binhao Wang; Sheng Zhang 028; Shanshan Ye; Wanyu Wang; Hongzhi Yin; Ruocheng Guo; Zenglin Xu (CoRR, 2025)

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. - Maolin Wang 001; Tianshuo Wei; Sheng Zhang 028; Ruocheng Guo; Wanyu Wang; Shanshan Ye; Lixin Zou; Xuetao Wei; Xiangyu Zhao 001 (CoRR, 2025)

MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. - Kuo Shi; Jie Lu 001; Shanshan Ye; Guangquan Zhang 001; Zhen Fang 001 (CoRR, 2025)

Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning. - Ali Taheri Ghahrizjani; Alireza Taban; Shanshan Ye; Abdolreza Mirzaei; Tongliang Liu; Bo Han 003 (CoRR, 2025)