Ke Wang

13 papers A* 4B 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models.
SIGIR
Ke Wang, Ji Zhang, Kuan Liu
2025 A* conf
LLM-Grounded Diffusion for Cross-Domain Recommendation.
ACM Multimedia
Kuan Liu, Ke Wang, Ji Zhang, Gang Zhou
2024 J jnl
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation.
ACM Trans. Inf. Syst.
Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu
2024 J jnl
Contrastive Self-supervised Learning in Recommender Systems: A Survey.
ACM Trans. Inf. Syst.
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
2024 J jnl
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.
ACM Trans. Inf. Syst.
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma
2024 A* conf
Review-Enhanced Hierarchical Contrastive Learning for Recommendation.
AAAI
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing
2023 A* conf
A Preference Learning Decoupling Framework for User Cold-Start Recommendation.
SIGIR
Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang
2023 J jnl
Contrastive Self-supervised Learning in Recommender Systems: A Survey.
CoRR
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
2023 — conf
Disentangled Contrastive Learning for Cross-Domain Recommendation.
DASFAA (2)
Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu
2023 J jnl
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation.
ACM Trans. Knowl. Discov. Data
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang
2023 J jnl
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation.
ACM Trans. Knowl. Discov. Data
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu
2023 B conf
Rating-Review Graph Contrastive Learning for Review-based Recommendation.
ICPADS
Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang
2022 — conf
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.
DASFAA (2)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu