Ziyu Shang

Orcid: 0000-0002-3737-4634

According to our database1, Ziyu Shang authored at least 29 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Unlearning of Knowledge Graph Embedding via Preference Optimization.
Proceedings of the ACM Web Conference 2026, 2026

On the Role of Discriminative Models in Generative Relation Extraction.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
PMMD: A pose-guided multi-view multi-modal diffusion for person generation.
CoRR, December, 2025

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng., September, 2025

Acquisition and Application of Novel Knowledge in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-Guided Semantic-Aware Clustering for Topic Modeling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

On the Consistency of Commonsense in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion.
Sci. China Inf. Sci., 2024

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Empirical Analysis of Dialogue Relation Extraction with Large Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Boosting Textural NER with Synthetic Image and Instructive Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Continual Knowledge Graph Embedding via Incremental Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multimodal Named Entity Recognition with Bottleneck Fusion and Contrastive Learning.
IEICE Trans. Inf. Syst., April, 2023

ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2023, 2023

A Two-Stage Label Rectification Framework for Noisy Event Extraction.
Proceedings of the Database Systems for Advanced Applications, 2023

IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2019
A Service-Oriented Remanufacturing Framework With Recovery Timing Prediction Based on Remote Condition Monitoring.
IEEE Access, 2019

2018
Visual Tracking via Multi-view Semi-supervised Learning.
Proceedings of the 2018 International Conference on Algorithms, 2018


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