Yuanzhen Xie

Orcid: 0000-0002-8010-3434

According to our database1, Yuanzhen Xie authored at least 17 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CTRL: Continuous-time representation learning on temporal heterogeneous information network.
Knowl. Based Syst., 2026

2025
DCMM-SQL: Automated Data-Centric Pipeline and Multi-Model Collaboration Training for Text-to-SQL Model.
CoRR, October, 2025

PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL.
CoRR, February, 2025

Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Heterogeneous graph contrastive learning for cold start cross-domain recommendation.
Knowl. Based Syst., 2024

L<sup>2</sup>CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering.
CoRR, 2024

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network.
CoRR, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.
CoRR, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities.
CoRR, 2023

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.
CoRR, 2022

2021
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network.
Proceedings of the WSDM '21, 2021

Expanding Relationship for Cross Domain Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Friend Recommendation Based on Multi-Social Graph Convolutional Network.
IEEE Access, 2020


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