Shuang Peng

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BlueLM-2.5-3B Technical Report.

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[DOI]

CoRR, July, 2025

Semi-Supervised Multiview Prototype Learning With Motion Reconstruction for Moving Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Improved RPCA Method via Fractional Function-Based Structure and Its Application.

[BibT_eX]

[DOI]

Yong-Ke Pan

Shuang Peng

Inf., 2025

Moving infrared dim and small target detection by mixed spatio-temporal encoding.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

Semi-implicit Lax-Wendroff kinetic scheme for multi-scale phonon transport.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2025

A Periodic Error Correction Method for Terahertz Coded-Aperture Imaging.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2025

EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Classroom Action Recognition Based on Graph Convolutional Neural Networks and Contrast Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment.

[BibT_eX]

[DOI]

Proceedings of the 53rd International Conference on Parallel Processing, 2024

FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Post-Training Quantization of Protein Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Shuang Peng

Bibliography

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