Chuanqi Shi

Orcid: 0000-0001-5249-7803

According to our database1, Chuanqi Shi authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Multitask Asynchronous Metalearning for Few-Shot Anomalous Node Detection in Dynamic Networks.
IEEE Trans. Comput. Soc. Syst., August, 2025

Performance Review on LLM for solving leetcode problems.
CoRR, February, 2025

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework.
CoRR, February, 2025

Deep Semantic Graph Learning via LLM based Node Enhancement.
CoRR, February, 2025

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT.
CoRR, February, 2025

AltGen: AI-Driven Alt Text Generation for Enhancing EPUB Accessibility.
CoRR, January, 2025

RASPberry: Retrieval-Augmented Monte Carlo Tree Self-Play with Reasoning Consistency for Multi-Hop Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Improving diversity and discriminability based implicit contrastive learning for unsupervised domain adaptation.
Appl. Intell., October, 2024

Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions.
Inf. Process. Manag., March, 2024

Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks.
ACM Trans. Knowl. Discov. Data, February, 2024

Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts.
CoRR, 2024

Robustness of Large Language Models Against Adversarial Attacks.
CoRR, 2024

Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Exploration and comparison of diverse approaches for integrating syntactic knowledge into AMR parsing.
Appl. Intell., December, 2023

Integrating Syntactic and Semantic Knowledge in AMR Parsing with Heterogeneous Graph Attention Network.
Proceedings of the IEEE International Conference on Acoustics, 2023


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