Yanyan Liu

According to our database, Yanyan Liu authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Topic-guided debiased contrastive learning for neural topic modeling.

Yanyan Liu, Zhiguo Gong

Neurocomputing, 2026

Adaptive Graph Reweighting for Collaborative Filtering.

Yijun Sheng, Ximing Chen, Pui Ieng Lei, Yanyan Liu, Zhiguo Gong

Proceedings of the ACM Web Conference 2026, 2026

Towards A Tri-View Diffusion Framework for Recommendation.

Ximing Chen, Pui Ieng Lei, Yijun Sheng, Yanyan Liu, Zhiguo Gong

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Aggregate, Optimize, and Propagate: A Forward-Forward Algorithm Framework for Graph-Based Recommendation.

Ximing Chen, Pui Ieng Lei, Yijun Sheng, Yanyan Liu, Zhiguo Gong

Proceedings of the Database Systems for Advanced Applications, 2026

2025

Gradual Domain Adaptation for Graph Learning.

Pui Ieng Lei, Ximing Chen, Yijun Sheng, Yanyan Liu, Jingzhi Guo, Zhiguo Gong

CoRR, January, 2025

Dual space multi-granular model for multi-interest sequential recommendation.

Yijun Sheng, Pui Ieng Lei, Yanyan Liu, Ximing Chen, Qiwen Xu, Zhiguo Gong

Knowl. Based Syst., 2025

Cycling topic graph learning for neural topic modeling.

Yanyan Liu, Zhiguo Gong

Knowl. Based Syst., 2025

Efficient energy-based neural topic modeling with embeddings.

Yanyan Liu, Pui Ieng Lei, Yijun Sheng, Ximing Chen, Zhiguo Gong

Neurocomputing, 2025

Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation.

Yijun Sheng, Pui Ieng Lei, Yanyan Liu, Ximing Chen, Zhiguo Gong

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Local Structure-Adaptive Graph Filtering for Collaborative Filtering.

Yijun Sheng, Ximing Chen, Yanyan Liu, Pui Ieng Lei, Zhiguo Gong

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Social Influence Learning for Recommendation Systems.

Ximing Chen, Pui Ieng Lei, Yijun Sheng, Yanyan Liu, Zhiguo Gong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024