Shanshan Ye

23 papers A* 4Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A review of graph neural networks for brain diseases analysis.
Neurocomputing
Hong Yang, Ruiwen Huang, Shanshan Ye, Peng Zhang, Yuhuai Guo, Shirui Pan, Yanchun Zhang
2026 J jnl
Explainable LLM Unlearning Through Reasoning.
CoRR
Junfeng Liao, Qizhou Wang, Shanshan Ye, Xin Yu, Ling Chen, Zhen Fang
2026 J jnl
Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning.
Trans. Mach. Learn. Res.
Ali Taheri Ghahrizjani, Alireza Taban, Qizhou Wang, Shanshan Ye, Abdolreza Mirzaei, Tongliang Liu, Bo Han
2026 J jnl
Is Gradient Ascent Really Necessary? Memorize to Forget for Machine Unlearning.
CoRR
Zhuo Huang, Qizhou Wang, Ziming Hong, Shanshan Ye, Bo Han, Tongliang Liu
2026 A* conf
PARS: Partial-Label-Learning-inspired Recommender Systems.
AAAI
Shanshan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu
2025 J jnl
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing.
CoRR
Ziming Hong, Tianyu Huang, Runnan Chen, Shanshan Ye, Mingming Gong, Bo Han, Tongliang Liu
2025 A* conf
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
IJCAI
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025 J jnl
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
CoRR
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025 J jnl
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach.
CoRR
Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye, Jing Jiang
2025 — conf
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
KDD (2)
Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025 J jnl
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
CoRR
Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025 J jnl
Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning.
CoRR
Ali Taheri Ghahrizjani, Alireza Taban, Shanshan Ye, Abdolreza Mirzaei, Tongliang Liu, Bo Han
2025 A* conf
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection.
ACM Multimedia
Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang
2025 J jnl
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection.
CoRR
Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang
2025 J jnl
Out-of-Distribution Detection with Virtual Outlier Smoothing.
Int. J. Comput. Vis.
Jun Nie, Yadan Luo, Shanshan Ye, Yonggang Zhang, Xinmei Tian, Zhen Fang
2025 J jnl
Robust Learning under Hybrid Noise.
ACM Trans. Intell. Syst. Technol.
Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong
2025 J jnl
Robust Recommender Systems with Rating Flip Noise.
ACM Trans. Intell. Syst. Technol.
Shanshan Ye, Jie Lu
2025 A* conf
Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation.
WWW
Shanshan Ye, Jie Lu, Guangquan Zhang
2025 J jnl
Towards Understanding Valuable Preference Data for Large Language Model Alignment.
CoRR
Zizhuo Zhang, Qizhou Wang, Shanshan Ye, Jianing Zhu, Jiangchao Yao, Bo Han, Masashi Sugiyama
2025 — conf
Training-free LLM Merging for Multi-task Learning.
ACL (1)
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Training-free LLM Merging for Multi-task Learning.
CoRR
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2024 J jnl
Robust Learning under Hybrid Noise.
CoRR
Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong
2023 — conf
Sequence Unlearning for Sequential Recommender Systems.
AI (1)
Shanshan Ye, Jie Lu