Hang Lv

Orcid: 0009-0007-2566-390X

Affiliations:
  • Fuzhou University, College of Computer and Data Science, China


According to our database1, Hang Lv authored at least 17 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

Online presence:

On csauthors.net:

Bibliography

2026
Graph-Oriented Instruction Tuning of Large Language Models for Generic Graph Mining.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Towards Efficient and Interpretable Medical Concept Representation via Ontology-driven Residual Vector Quantization.
Proceedings of the ACM Web Conference 2026, 2026

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
Profiling users with tag-enhanced spherical metric learning for recommendation.
Int. J. Mach. Learn. Cybern., September, 2025

GMAgent: A Graph-oriented Multi-agent Collaboration Framework for Text-attributed Graph Analysis.
Trans. Mach. Learn. Res., 2025

MedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Higher-order Structure and Semantics-enhanced User Profiling for Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

$\mathrm{D}^{2}$ KGMed: Dynamic Diagnostic Knowledge Graphs for Medical Diagnosis Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

RQCare: A Residual Quantization Model for Disease Representation and Diagnosis Prediction in Healthcare Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

DMAP: A Deep-Model Driven Multi-Agent Framework for Reliable Diagnosis Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining.
CoRR, 2024

BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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