Linxun Chen

According to our database, Linxun Chen authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining.

Youru Li, Zhenfeng Zhu, Linxun Chen, Bin Yang, Yaxi Wu, Xiaobo Guo, Bing Han, Yao Zhao

IEEE Trans. Knowl. Data Eng., May, 2024

Integrating Large Language Models with Graphical Session-Based Recommendation.

Naicheng Guo, Hongwei Cheng, Qianqiao Liang, Linxun Chen, Bing Han

CoRR, 2024

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward.

Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin

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

2023

Selective and collaborative influence function for efficient recommendation unlearning.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen

Expert Syst. Appl., December, 2023

Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.

Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo

CoRR, 2023

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.

Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan

CoRR, 2023

Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning.

Xuewen Tao, Mingming Ha, Qiongxu Ma, Hongwei Cheng, Wenfang Lin, Xiaobo Guo, Linxun Chen, Bing Han

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction.

Youru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Neural Node Matching for Multi-Target Cross Domain Recommendation.

Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems.

Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han

CoRR, 2022