Xukai Liu

Orcid: 0009-0008-9328-3498

According to our database1, Xukai Liu authored at least 18 papers between 2023 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
Learn to Understand: Knowledge Exemplification via Multi-Agent Cooperation for Science Question Answering.
IEEE Trans. Knowl. Data Eng., April, 2026

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature.
CoRR, April, 2026

Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models.
CoRR, January, 2026

Generative Query Augmentation with Dual-view Contrastive Learning for Dense Retrieval in Conversational Search.
Proceedings of the Database Systems for Advanced Applications, 2026

2025
PPTBench: Towards Holistic Evaluation of Large Language Models for PowerPoint Layout and Design Understanding.
CoRR, December, 2025

Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering.
CoRR, May, 2025

An Efficient Certificateless Key-Insulated Anonymous Signature Scheme Based on Smart Contract for Data Sharing in Industrial Internet of Things.
IEEE Internet Things J., March, 2025

Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.
Proceedings of the IEEE International Conference on Data Mining, 2025

Detect, Investigate, Judge and Determine: A Knowledge-Guided Framework for Few-Shot Fake News Detection.
Proceedings of the IEEE International Conference on Data Mining, 2025

Learnable Relational Knowledge Distillation For Language Model Compression.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Puncturable-based broadcast encryption with tracking for preventing malicious encryptors in cloud file sharing.
J. Inf. Secur. Appl., 2024

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.
CoRR, 2024

Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.
CoRR, 2024

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023


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