Linxun Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Top Venues

Publications

Naicheng Guo, Hongwei Cheng, Qianqiao Liang, Linxun Chen, Bing Han
Integrating Large Language Models with Graphical Session-Based Recommendation. CoRR (2024)
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW (2024)
Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. AAAI (2024)
Mingming Ha, Xuewen Tao, Wenfang Lin, Qiongxu Ma, Wujiang Xu, Linxun Chen
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. CoRR (2024)
Wujiang Xu, Zujie Liang, Jiaojiao Han, Xuying Ning, Wenfang Lin, Linxun Chen, Feng Wei, Yongfeng Zhang
SLMRec: Empowering Small Language Models for Sequential Recommendation. CoRR (2024)
Youru Li, Zhenfeng Zhu, Linxun Chen, Bin Yang, Yaxi Wu, Xiaobo Guo, Bing Han, Yao Zhao
Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. ACM Trans. Web 18 (2) (2024)
Xuying Ning, Wujiang Xu, Xiaolei Liu, Mingming Ha, Qiongxu Ma, Youru Li, Linxun Chen, Yongfeng Zhang
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. CoRR (2024)
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR (2023)
Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Minnan Luo
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. CoRR (2023)
Youru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao
Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction. KDD (2023)
Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu
Neural Node Matching for Multi-Target Cross Domain Recommendation. ICDE (2023)
Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu
Neural Node Matching for Multi-Target Cross Domain Recommendation. CoRR (2023)
Xuewen Tao, Mingming Ha, Qiongxu Ma, Hongwei Cheng, Wenfang Lin, Xiaobo Guo, Linxun Chen, Bing Han
Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning. RecSys (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen
Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. 234 (2023)
Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR (2022)