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2020 – today
- 2025
[j3]Jun Nie
, Yadan Luo, Shanshan Ye, Yonggang Zhang, Xinmei Tian, Zhen Fang:
Out-of-Distribution Detection with Virtual Outlier Smoothing. Int. J. Comput. Vis. 133(2): 724-741 (2025)- [j2]Shanshan Ye, Jie Lu:
Robust Recommender Systems with Rating Flip Noise. ACM Trans. Intell. Syst. Technol. 16(1): 11:1-11:19 (2025) - [j1]Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong:
Robust Learning under Hybrid Noise. ACM Trans. Intell. Syst. Technol. 16(2): 34:1-34:27 (2025) - [c6]Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao:
Training-free LLM Merging for Multi-task Learning. ACL (1) 2025: 33111-33124 - [c5]Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao:
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. IJCAI 2025: 6334-6342 - [c4]Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu:
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation. KDD (2) 2025: 3008-3018 - [c3]Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang:
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. ACM Multimedia 2025: 353-361 - [c2]Shanshan Ye, Jie Lu, Guangquan Zhang:
Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. WWW 2025: 4635-4652 - [i9]Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye, Jing Jiang:
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach. CoRR abs/2505.01075 (2025) - [i8]Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao:
Training-free LLM Merging for Multi-task Learning. CoRR abs/2506.12379 (2025) - [i7]Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu:
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation. CoRR abs/2507.04651 (2025) - [i6]Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao:
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. CoRR abs/2507.04671 (2025) - [i5]Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang:
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. CoRR abs/2508.01525 (2025) - [i4]Ali Taheri Ghahrizjani, Alireza Taban, Shanshan Ye, Abdolreza Mirzaei, Tongliang Liu, Bo Han:
Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning. CoRR abs/2508.04329 (2025) - [i3]Zizhuo Zhang, Qizhou Wang, Shanshan Ye, Jianing Zhu, Jiangchao Yao, Bo Han, Masashi Sugiyama:
Towards Understanding Valuable Preference Data for Large Language Model Alignment. CoRR abs/2510.13212 (2025) - [i2]Ziming Hong, Tianyu Huang, Runnan Chen, Shanshan Ye, Mingming Gong, Bo Han, Tongliang Liu:
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing. CoRR abs/2512.07247 (2025) - 2024
- [i1]Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong:
Robust Learning under Hybrid Noise. CoRR abs/2407.04029 (2024) - 2023
- [c1]Shanshan Ye, Jie Lu:
Sequence Unlearning for Sequential Recommender Systems. AI (1) 2023: 403-415
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