Shuchang Lyu

Shuchang Lyu

Lecturer of School of Artificial Intelligence, USTB.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

The Teacher-Student Interactive Cycle: Joint Optimization with Inner-Loop Self-Distillation in Prompted Foundation Models for Efficient Semantic Segmentation

Published in TCSVT, 2026

Recommended citation: M. Li, Q. Zhao, S. Lyu*, J. Jiang, L. Zou, D. Yao, G. Cheng, and C. Yang, "The Teacher–Student Interactive Cycle: Joint Optimization With Inner-Loop Self-Distillation in Prompted Foundation Models for Efficient Semantic Segmentation," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 7, pp. 10763-10779, July 2026, doi: 10.1109/TCSVT.2026.3665905.
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Learn From Past to Future: Exploiting Self-Training and Curriculum Learning in Remote Sensing Class-Incremental Semantic Segmentation

Published in TGRS, 2025

Recommended citation: R. Ren, H. Zhao, Y. Wang, S. Lyu*, G. Wang, G. Cheng, Q. Zhao, and J. Ren, "Learn From Past to Future: Exploiting Self-Training and Curriculum Learning in Remote Sensing Class-Incremental Semantic Segmentation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-15, 2025, Art no. 5657215, doi: 10.1109/TGRS.2025.3643913.
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Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-based Hybrid Training Joint-Optimized Network

Published in TGRS, 2025

Recommended citation: S. Lyu, Q. Zhao, Y. Sun, G. Cheng, Y. He, G. Wang, J. Ren, and Z. Shi, "Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-Based Hybrid Training Joint-Optimized Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, 2025, Art no. 4409117, doi: 10.1109/TGRS.2025.3564216.
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Conference Papers