Shanru Lin

According to our database, Shanru Lin authored at least 10 papers between 2024 and 2025.

Collaborative distances:

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

2025

Generative Recommendation with Continuous-Token Diffusion.

Haohao Qu, Wenqi Fan, Shanru Lin

CoRR, April, 2025

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models.

Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li

CoRR, March, 2025

Multi-Agent Attacks for Black-Box Social Recommendations.

Shijie Wang, Wenqi Fan, Xiao-Yong Wei, Xiaowei Mei, Shanru Lin, Qing Li

ACM Trans. Inf. Syst., January, 2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin

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

2024

Adaptive Self-supervised Learning for Social Recommendations.

Xin He, Shanru Lin, Wenqi Fan, Mingchen Sun, Ying Wang, Xin Wang

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang

CoRR, 2024

Knowledge Graph Relation Patterns Networks for Recommendations.

Yongyi Liu, Shanru Lin, Jiangtao Huang

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

TopoUT: Enhancing Cell Segmentation Through Efficient Topological Regularization.

Shanru Lin, Temirlan Sabyrbayev, Zhexu Jin, Gaoyang Li, Huansheng Cao, Dongmian Zou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.

Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024