Xuhao Zhao

Orcid: 0009-0005-7120-4857

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Xuhao Zhao authored at least 11 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Friend-Aware Contrastive Learning with Aligned Social Graph for Social Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2026

Inter-attribute Semantic Correlation-Guided Federated Recommender System Against Attribute Inference Attacks.
Proceedings of the Database Systems for Advanced Applications, 2026

2025
Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation.
ACM Trans. Inf. Syst., November, 2025

Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Towards Effective and Consistent Information Extraction for Social Recommendation: A Minimum and Sufficiency Perspective.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
Graph Diffusion-Based Representation Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024

MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023


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