Tianzi Zang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Top Venues

ACM Trans. Knowl. Discov. Data

ACM Trans. Inf. Syst.

Publications

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing
Review-Enhanced Hierarchical Contrastive Learning for Recommendation. AAAI (2024)
Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. ACM Trans. Inf. Syst. 42 (3) (2024)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
Contrastive Self-supervised Learning in Recommender Systems: A Survey. ACM Trans. Inf. Syst. 42 (2) (2024)
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) (2023)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
Contrastive Self-supervised Learning in Recommender Systems: A Survey. CoRR (2023)
Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen
Dual Contrastive Learning for Multi-Behavior Recommendation. ICPADS (2023)
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)
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) (2023)
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) (2023)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
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)
Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu
Disentangled Contrastive Learning for Cross-Domain Recommendation. DASFAA (2) (2023)
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 (2023)
Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu
MPAN: Multi-parallel attention network for session-based recommendation. Neurocomputing 471 (2022)
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) (2022)
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang
Deep Meta-learning in Recommendation Systems: A Survey. CoRR (2022)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang
Graph Contrastive Learning with Adaptive Augmentation for Recommendation. ECML/PKDD (1) (2022)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. DASFAA (2) (2022)
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)
Tianzi Zang, Yanmin Zhu, Yanan Xu, Jiadi Yu
Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
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)
Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks. CoRR (2021)
Xian Zhou, Yanyan Shen, Linpeng Huang, Tianzi Zang, Yanmin Zhu
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. CoRR (2021)
Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li
Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions. DASFAA (1) (2021)
Yuan Qu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu
Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting. WISE (1) (2020)
Qiaomei Zhang, Yanmin Zhu, Tianzi Zang, Jiadi Yu
Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation. WISE (2) (2020)
Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. CIKM (2020)