Xiaoyan Zhao

Orcid: 0000-0001-6001-1260

Affiliations:
  • Chinese University of Hong Kong, Hong Kong


According to our database1, Xiaoyan Zhao authored at least 23 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Latent Inter-User Difference Modeling for LLM Personalization.
CoRR, July, 2025

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation.
CoRR, June, 2025

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation.
CoRR, June, 2025

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization.
CoRR, June, 2025

Reinforced Latent Reasoning for LLM-based Recommendation.
CoRR, May, 2025

Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models.
CoRR, April, 2025

Few-Shot Relation Extraction With Automatically Generated Prompts.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

PEARL: Towards Permutation-Resilient LLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.
ACM Comput. Surv., November, 2024

Improving Semi-Supervised Text Classification with Dual Meta-Learning.
ACM Trans. Inf. Syst., July, 2024

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models.
IEEE Trans. Knowl. Data Eng., June, 2024

PMG : Personalized Multimodal Generation with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

PITA: Prompting Task Interaction for Argumentation Mining.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023

2022
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs.
CoRR, 2022

Enhancing Top-N Item Recommendations by Peer Collaboration.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dependency-aware Prototype Learning for Few-shot Relation Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Enhancing Top-N Item Recommendations by Peer Collaboration.
CoRR, 2021

2020
Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020


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