Tianzi Zang

According to our database, Tianzi Zang authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma

ACM Trans. Inf. Syst., March, 2024

Contrastive Self-supervised Learning in Recommender Systems: A Survey.

Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang

ACM Trans. Inf. Syst., March, 2024

Review-Enhanced Hierarchical Contrastive Learning for Recommendation.

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation.

Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu

ACM Trans. Knowl. Discov. Data, November, 2023

Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients.

Tianzi Zang, Yanmin Zhu, Xinrui Huang, Xinchen Yang, Qiuxia Chen, Jiadi Yu, Feilong Tang

Artif. Intell. Medicine, October, 2023

Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.

Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu

ACM Trans. Knowl. Discov. Data, May, 2023

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions.

Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu

ACM Trans. Inf. Syst., April, 2023

Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation.

Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang

ACM Trans. Knowl. Discov. Data, January, 2023

Dual Contrastive Learning for Multi-Behavior Recommendation.

Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Rating-Review Graph Contrastive Learning for Review-based Recommendation.

Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction.

Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Disentangled Contrastive Learning for Cross-Domain Recommendation.

Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks.

Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang

ACM Trans. Knowl. Discov. Data, 2022

MPAN: Multi-parallel attention network for session-based recommendation.

Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu

Neurocomputing, 2022

Deep Meta-learning in Recommendation Systems: A Survey.

Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang

CoRR, 2022

Graph Contrastive Learning with Adaptive Augmentation for Recommendation.

Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.

Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction.

Xian Zhou, Yanyan Shen, Linpeng Huang, Tianzi Zang, Yanmin Zhu

IEEE Trans. Knowl. Data Eng., 2021

Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction.

Tianzi Zang, Yanmin Zhu, Yanan Xu, Jiadi Yu

ACM Trans. Knowl. Discov. Data, 2021

Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction.

Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu

Proceedings of the WSDM '21, 2021

Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions.

Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li

Proceedings of the Database Systems for Advanced Applications, 2021

Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation.

Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation.

Qiaomei Zhang, Yanmin Zhu, Tianzi Zang, Jiadi Yu

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting.

Yuan Qu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks.

Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020