Chunyang Wang

According to our database, Chunyang Wang authored at least 20 papers between 2021 and 2024.

Collaborative distances:

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

2024

Graph Diffusion-Based Representation Learning for Sequential Recommendation.

Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Xuhao Zhao, Bo Li, Jiadi Yu, Feilong Tang

IEEE Trans. Knowl. Data Eng., December, 2024

Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction.

Xinyi Zhang, Yanmin Zhu, Chunyang Wang, Jian Cao, Yirong Chen, Jie Wang

CCF Trans. Pervasive Comput. Interact., June, 2024

Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation.

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

ACM Trans. Inf. Syst., May, 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

Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation.

Yuexian Wang, Wenze Ma, Yanmin Zhu, Chunyang Wang, Zhaobo Wang, Feilong Tang, Jiadi Yu

Proceedings of the Database Systems for Advanced Applications, 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

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

Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis.

Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang

IEEE Trans. Big Data, 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

Adaptive Graph Representation Learning for Next POI Recommendation.

Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Preference Learning Decoupling Framework for User Cold-Start Recommendation.

Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation.

Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation.

Zhaobo Wang, Yanmin Zhu, Qiaomei Zhang, Haobing Liu, Chunyang Wang, Tong Liu

ACM Trans. Knowl. Discov. Data, 2022

Deep Meta-learning in Recommendation Systems: A Survey.

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

CoRR, 2022

Learning Graph-based Disentangled Representations for Next POI Recommendation.

Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

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

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