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Jiadi Yu
Publications
- 2023
- [j72]Haobing Liu, Jianyu Ding, Yanmin Zhu, Feilong Tang, Jiadi Yu, Ruobing Jiang, Zhongwen Guo:
Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation. Knowl. Based Syst. 280: 111013 (2023) - [j71]Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang:
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. IEEE Trans. Big Data 9(2): 716-732 (2023) - [j69]Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu:
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 59:1-59:23 (2023) - [j68]Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu:
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation. ACM Trans. Knowl. Discov. Data 17(9): 130:1-130:27 (2023) - [j64]Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. ACM Trans. Inf. Syst. 41(2): 42:1-42:39 (2023) - [i6]Haobing Liu, Jianyu Ding, Yanmin Zhu, Feilong Tang, Jiadi Yu, Ruobing Jiang, Zhongwen Guo:
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation. CoRR abs/2309.14938 (2023) - 2022
- [j59]Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang:
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks. ACM Trans. Knowl. Discov. Data 16(1): 16:1-16:24 (2022) - [i5]Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang:
Deep Meta-learning in Recommendation Systems: A Survey. CoRR abs/2206.04415 (2022) - [i4]Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang:
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. CoRR abs/2207.11776 (2022) - 2021
- [c98]Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu:
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. CIKM 2021: 1889-1898 - [c92]Chao Long, Yanmin Zhu, Haobing Liu, Jiadi Yu:
Efficient Feature Interactions Learning with Gated Attention Transformer. WISE (2) 2021: 3-17 - [c91]Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu:
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. WSDM 2021: 616-634 - [i2]Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang:
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks. CoRR abs/2103.13565 (2021) - [i1]Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. CoRR abs/2108.03357 (2021) - 2020
- [c90]Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai:
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. CIKM 2020: 865-874
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