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2020 – today
- 2024
[j3]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): 1979-1990 (2024)- [j2]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): 19:1-19:24 (2024) - [c6]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: 9250-9259 - [c5]Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo:
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. ECML/PKDD (1) 2024: 161-179 - [c4]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: 3173-3184 - [i8]Naicheng Guo, Hongwei Cheng, Qianqiao Liang, Linxun Chen, Bing Han:
Integrating Large Language Models with Graphical Session-Based Recommendation. CoRR abs/2402.16539 (2024) - [i7]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 abs/2405.15403 (2024) - [i6]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 abs/2405.17890 (2024) - [i5]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 abs/2405.20710 (2024) - 2023
- [j1]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: 121025 (2023) - [c3]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: 2154-2166 - [c2]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: 4426-4436 - [c1]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: 151-160 - [i4]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 abs/2302.05919 (2023) - [i3]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 abs/2311.04590 (2023) - [i2]Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo:
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. CoRR abs/2311.04760 (2023) - 2022
- [i1]Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han:
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR abs/2210.12940 (2022)
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