Shunhang Li

Orcid: 0009-0005-5942-0928

According to our database1, Shunhang Li authored at least 17 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
UMLGA: unsupervised graph meta-learning via local subgraph augmentation.
Appl. Intell., January, 2026

QR 3 AG: Dynamic Retrieval-Augmented Generation via Query-Response Relevance Threshold Judgement.
Expert Syst. Appl., 2026

Using Knowledge Induction strategies: LLMs can do better in knowledge-driven dialogue tasks.
Comput. Speech Lang., 2026

Context-aware Graph Meta-learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Semantic-aware fake news detection with heterogeneous graph attention.
J. Intell. Inf. Syst., December, 2025

Behavioral psychology of LLMs: Better task guidance through punishment and reinforcement.
Neurocomputing, 2025

Easy and effective! Data augmentation for knowledge-aware dialogue generation via multi-perspective sentences interaction.
Neurocomputing, 2025

Event-level supervised contrastive learning with back-translation augmentation for event causality identification.
Neurocomputing, 2025

Text-Image Feature Fine-Grained Learning for Joint Multimodal Aspect-Based Sentiment Analysis.
Comput. Mater. Continua, 2025

Self-consistent Knowledge Generation in Large Language Models: A Unified Framework of Meta-cognitive Prompting and Knowledge Utility Optimization.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Structural Denoising Contrastive Self-supervised Graph Meta-learning.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Image-to-image translation using an offset-based multi-scale codes GAN encoder.
Vis. Comput., February, 2024

Enhancing cross-evidence reasoning graph for document-level relation extraction.
PeerJ Comput. Sci., 2024

2023
Adversarial-Based Ensemble Feature Knowledge Distillation.
Neural Process. Lett., December, 2023

Improving knowledge distillation via pseudo-multi-teacher network.
Mach. Vis. Appl., March, 2023

The Causal Reasoning Ability of Open Large Language Model: A Comprehensive and Exemplary Functional Testing.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023


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