Shanshan Ye

According to our database, Shanshan Ye authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, August, 2025

MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection.

Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang

CoRR, August, 2025

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.

Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao

CoRR, July, 2025

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.

Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu

CoRR, July, 2025

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach.

Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye, Jing Jiang

CoRR, May, 2025

Robust Learning under Hybrid Noise.

Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong

ACM Trans. Intell. Syst. Technol., April, 2025

Robust Recommender Systems with Rating Flip Noise.

Shanshan Ye, Jie Lu

ACM Trans. Intell. Syst. Technol., February, 2025

Out-of-Distribution Detection with Virtual Outlier Smoothing.

Jun Nie, Yadan Luo, Shanshan Ye, Yonggang Zhang, Xinmei Tian, Zhen Fang

Int. J. Comput. Vis., February, 2025

Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation.

Shanshan Ye, Jie Lu, Guangquan Zhang

Proceedings of the ACM on Web Conference 2025, 2025

Training-free LLM Merging for Multi-task Learning.

Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

Sequence Unlearning for Sequential Recommender Systems.

Shanshan Ye, Jie Lu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023