Dong Chen

Orcid: 0000-0002-4859-1757

Affiliations:

Zhengzhou University, School of Computer and Artificial Intelligence, China
National Supercomputing Center, Zhengzhou, China
Zhejiang University, College of Computer Science and Technology, Hangzhou, China

According to our database¹, Dong Chen authored at least 23 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

What Will Happen Next: Large Models-Driven Deduction for Emergency Instances.

[BibT_eX]

[DOI]

CoRR, May, 2026

MAFIG: Multi-agent Driven Formal Instruction Generation Framework.

[BibT_eX]

[DOI]

CoRR, April, 2026

Collaborative Small and Large Models for Crowd Simulation With Incomplete Trajectory Data.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., March, 2026

Improving large models with small models: Lower costs and better performance.

[BibT_eX]

[DOI]

Neural Networks, 2026

2025

Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments.

[BibT_eX]

[DOI]

CoRR, December, 2025

GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, October, 2025

Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation.

[BibT_eX]

[DOI]

CoRR, August, 2025

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, June, 2025

FADngs: Federated Learning for Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Improving Vision Anomaly Detection With the Guidance of Language Modality.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

MM-CARP: Multimodal Model with Cross-Modal Retrieval-Augmented and Visual Region Perception.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling, 2025

MIRAGE25: ACM MM25 Multimodal Interleaved Reasoning and Generation Challenge.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LLAUS: A High-Quality Instruction-Tuned Large Vision Language Assistant for UltraSound.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Logic Distillation: Learning from Code Function by Function for Decision-making Tasks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Logic Distillation: Learning from Code Function by Function for Planning and Decision-making.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Large Models with Small models: Lower Costs and Better Performance.

[BibT_eX]

[DOI]

CoRR, 2024

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Modal Data Augmentation for Tasks of Different Modalities.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Improving Vision Anomaly Detection with the Guidance of Language Modality.

[BibT_eX]

[DOI]

CoRR, 2023

FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Dong Chen

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...