Xianghong Xu

Orcid: 0000-0003-2447-4107

Affiliations:
  • Tsinghua University, Shenzhen, China


According to our database1, Xianghong Xu authored at least 10 papers between 2022 and 2023.

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

Timeline

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Links

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Bibliography

2023
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation.
CoRR, 2023

COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results.
Proceedings of the International Joint Conference on Neural Networks, 2023

Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Social-aware Sparse Attention Network for Session-based Social Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Diversify Search Results Through Graph Attentive Document Interaction.
Proceedings of the Database Systems for Advanced Applications, 2022

Modeling Latent Autocorrelation for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022


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