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Tianzi Zang
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2020 – today
- 2024
- [j13]Ke Wang
, Yanmin Zhu
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. ACM Trans. Inf. Syst. 42(2): 51:1-51:29 (2024) - [j12]Mengyuan Jing
Contrastive Self-supervised Learning in Recommender Systems: A Survey. ACM Trans. Inf. Syst. 42(2): 59:1-59:39 (2024) - [j11]Tianzi Zang
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. ACM Trans. Inf. Syst. 42(3): 76:1-76:30 (2024) - [j10]Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Jing Zhu, Feilong Tang:
Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation. World Wide Web (WWW) 27(6): 73 (2024) - [c16]Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing:
Review-Enhanced Hierarchical Contrastive Learning for Recommendation. AAAI 2024: 9107-9115 - [c15]Juan Li, Rui Deng, Tianzi Zang, Mingqi Kong, Kun Zhu:
Efficient and Secure Contribution Estimation in Vertical Federated Learning. CIKM 2024: 1205-1214 - [c14]Junyao Liang, Juan Li, Ji Zhang, Tianzi Zang:
Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving. IJCNN 2024: 1-7 - [c13]Zishang Chen, Juan Li, Kun Zhu, Changyan Yi, Tianzi Zang:
Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning. WCNC 2024: 1-6 - 2023
- [j9]Tianzi Zang, Yanmin Zhu, Xinrui Huang, Xinchen Yang, Qiuxia Chen, Jiadi Yu, Feilong Tang:
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients. Artif. Intell. Medicine 144: 102660 (2023) - [j8]Ke Wang
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation. ACM Trans. Knowl. Discov. Data 17(1): 3:1-3:22 (2023) - [j7]Mengyuan Jing
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 59:1-59:23 (2023) - [j6]Chunyang Wang
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) - [j5]Tianzi Zang
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. ACM Trans. Inf. Syst. 41(2): 42:1-42:39 (2023) - [c12]Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu:
Disentangled Contrastive Learning for Cross-Domain Recommendation. DASFAA (2) 2023: 163-178 - [c11]Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang:
Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction. ICPADS 2023: 1492-1499 - [c10]Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang:
Rating-Review Graph Contrastive Learning for Review-based Recommendation. ICPADS 2023: 1522-1529 - [c9]Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen:
Dual Contrastive Learning for Multi-Behavior Recommendation. ICPADS 2023: 1538-1545 - [i4]Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang:
Contrastive Self-supervised Learning in Recommender Systems: A Survey. CoRR abs/2303.09902 (2023) - 2022
- [j4]Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu
MPAN: Multi-parallel attention network for session-based recommendation. Neurocomputing 471: 230-241 (2022) - [j3]Haobing Liu
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks. ACM Trans. Knowl. Discov. Data 16(1): 16:1-16:24 (2022) - [c8]Ke Wang, Yanmin Zhu, Haobing Liu
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. DASFAA (2) 2022: 53-68 - [c7]Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang:
Graph Contrastive Learning with Adaptive Augmentation for Recommendation. ECML/PKDD (1) 2022: 590-605 - [i3]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) - 2021
- [j2]Tianzi Zang
Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15(4): 58:1-58:20 (2021) - [j1]Xian Zhou
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction. IEEE Trans. Knowl. Data Eng. 33(5): 2096-2108 (2021) - [c6]Chunyang Wang, Yanmin Zhu, Haobing Liu
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. CIKM 2021: 1889-1898 - [c5]Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu
Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions. DASFAA (1) 2021: 526-541 - [c4]Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. WSDM 2021: 616-634 - [i2]Haobing Liu
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
- [c3]Haobing Liu
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. CIKM 2020: 865-874 - [c2]Qiaomei Zhang, Yanmin Zhu, Tianzi Zang, Jiadi Yu:
Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation. WISE (2) 2020: 316-330 - [c1]Yuan Qu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu:
Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting. WISE (1) 2020: 414-429
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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