Jinghan Cao

Orcid: 0009-0005-5629-7901

According to our database1, Jinghan Cao authored at least 14 papers between 2024 and 2026.

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Bibliography

2026
FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction.
CoRR, April, 2026

Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting.
CoRR, March, 2026

Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models.
Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025
HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks.
CoRR, December, 2025

Hy-Facial: Hybrid Feature Extraction by Dimensionality Reduction Methods for Enhanced Facial Expression Classification.
CoRR, September, 2025

TreeDiff: AST-Guided Code Generation with Diffusion LLMs.
CoRR, August, 2025

Own-background contrastive learning guided by pseudo-label for semi-supervised medical image segmentation.
Appl. Soft Comput., 2025

CATCH: A Modular Cross-Domain Adaptive Template with Hook.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025

Engage for All: Making Ordinary Image Descriptions Appealing Again!
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

High-Context Empathy in Conversations for Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models.
CoRR, 2024

A survey on fairness of large language models in e-commerce: progress, application, and challenge.
CoRR, 2024

Multi-task Heterogeneous Framework for Semi-supervised Medical Image Segmentation.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024


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