Ke Wang

According to our database, Ke Wang authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models.

Ke Wang, Ji Zhang, Kuan Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

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

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

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

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

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

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