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 (ICDE, 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 023; Yao Zhao 001 (KDD, 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 017 (RecSys, 2023)

Selective and collaborative influence function for efficient recommendation unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020; Linxun Chen (Expert Syst. Appl., 2023)

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. - Mengyuan Yang 002; Mengying Zhu; Yan Wang 002; Linxun Chen; Yilei Zhao 001; Xiuyuan Wang 002; Bing Han; Xiaolin Zheng; Jianwei Yin (AAAI, 2024)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Taoxuewen; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (NeurIPS, 2024)

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 (ECML/PKDD (1), 2024)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. - Wujiang Xu; Qitian Wu; Runzhong Wang; Mingming Ha; Qiongxu Ma; Linxun Chen; Bing Han 023; Junchi Yan (WWW, 2024)

Integrating Large Language Models with Graphical Session-Based Recommendation. - Naicheng Guo; Hongwei Cheng; Qianqiao Liang; Linxun Chen; Bing Han (CoRR, 2024)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Xuewen Tao; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (CoRR, 2024)

SLMRec: Empowering Small Language Models for Sequential Recommendation. - Wujiang Xu; Zujie Liang; Jiaojiao Han; Xuying Ning; Wenfang Lin; Linxun Chen; Feng Wei; Yongfeng Zhang (CoRR, 2024)

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. - Xuying Ning; Wujiang Xu; Xiaolei Liu; Mingming Ha; Qiongxu Ma; Youru Li; Linxun Chen; Yongfeng Zhang (CoRR, 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 023; Yao Zhao 001 (IEEE Trans. Knowl. Data Eng., 2024)

Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. - Xiaolin Zheng; Rui Wu; Zhongxuan Han; Chaochao Chen 001; Linxun Chen; Bing Han 017 (ACM Trans. Web, 2024)

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation. - Guanchen Wang; Mingming Ha; Tianbao Ma; Linxun Chen; Zhaojie Liu; Guorui Zhou; Kun Gai (CoRR, 2025)