Yucong Meng

Orcid: 0000-0001-5761-6138

According to our database1, Yucong Meng authored at least 12 papers between 2023 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
DH-Mamba: Exploring Dual-Domain Hierarchical State Space Models for MRI Reconstruction.
IEEE Trans. Circuits Syst. Video Technol., March, 2026

Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
DM-Mamba: Dual-domain Multi-scale Mamba for MRI reconstruction.
CoRR, January, 2025

Tackling Ambiguity From Perspectives of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation.
IEEE Trans. Multim., 2025

Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Robust Point Cloud Registration via Random Network Co-Ensemble.
IEEE Trans. Circuits Syst. Video Technol., 2024

Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction.
CoRR, 2024

Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation.
CoRR, 2024

2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation.
CoRR, 2023

PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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