Shanshan Ye

According to our database, Shanshan Ye authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems.

Shanshan Ye, Duo Lu

CoRR, May, 2026

DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding.

Xiang Feng, Jiawei Zhou, Zhangfeng Huang, Kewei Wang, Shanshan Ye, Jinxin Hu, Zulong Chen, Yong Luo, Jing Zhang

CoRR, May, 2026

SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation.

Yexiong Lin, Jia Shi, Shanshan Ye, Wanyu Wang, Yu Yao, Tongliang Liu

CoRR, April, 2026

Explainable LLM Unlearning Through Reasoning.

Junfeng Liao, Qizhou Wang, Shanshan Ye, Xin Yu, Ling Chen, Zhen Fang

CoRR, March, 2026

Is Gradient Ascent Really Necessary? Memorize to Forget for Machine Unlearning.

Zhuo Huang, Qizhou Wang, Ziming Hong, Shanshan Ye, Bo Han, Tongliang Liu

CoRR, February, 2026

Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning.

Ali Taheri Ghahrizjani, Alireza Taban, Qizhou Wang, Shanshan Ye, Abdolreza Mirzaei, Tongliang Liu, Bo Han

Trans. Mach. Learn. Res., 2026

A review of graph neural networks for brain diseases analysis.

Hong Yang, Ruiwen Huang, Shanshan Ye, Peng Zhang, Yuhuai Guo, Shirui Pan, Yanchun Zhang

Neurocomputing, 2026

PARS: Partial-Label-Learning-inspired Recommender Systems.

Shanshan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing.

Ziming Hong, Tianyu Huang, Runnan Chen, Shanshan Ye, Mingming Gong, Bo Han, Tongliang Liu

CoRR, December, 2025

Towards Understanding Valuable Preference Data for Large Language Model Alignment.

Zizhuo Zhang, Qizhou Wang, Shanshan Ye, Jianing Zhu, Jiangchao Yao, Bo Han, Masashi Sugiyama

CoRR, October, 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

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

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

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

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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