Xin Xia

Orcid: 0000-0001-6250-5387

Affiliations:
  • University of Queensland, Brisbane, Australia


According to our database1, Xin Xia authored at least 11 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2024

Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng., January, 2024

On-Device Recommender Systems: A Comprehensive Survey.
CoRR, 2024

2023
Efficient On-Device Session-Based Recommendation.
ACM Trans. Inf. Syst., October, 2023

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR, 2021

Socially-Aware Self-Supervised Tri-Training for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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