Shi Qiu

Orcid: 0000-0002-8027-3396

Affiliations:
  • Central South University, Changsha, China


According to our database1, Shi Qiu authored at least 17 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Enabling Real-Time, Cost-Efficient, and Lightweight High-Speed Crack Segmentation using Self-Supervised Attention Mechanism.
Int. J. Comput. Intell. Syst., December, 2026

DA-NGF: A Domain-Adaptive Neurogenerative Framework for Few-Shot Railway Fastener Defect Synthesis and Transferable Representation Learning.
Appl. Intell., January, 2026

Shedding Light on Explainable AI: Insights, Challenges, and the Future of Infrastructure Management.
ISPRS Int. J. Geo Inf., 2026

Multimodal graph neural network framework for railway fastener tightness assessment from high-resolution point clouds.
Eng. Appl. Artif. Intell., 2026

Knowledge graph-based operation and maintenance risk analysis and early warning approach for railway traction power supply systems.
Eng. Appl. Artif. Intell., 2026

Optimization of heavy railway maintenance machinery tamping scheduling based on deep reinforcement learning.
Appl. Soft Comput., 2026

2025
Quantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning.
J. Comput. Civ. Eng., 2025

Railway-Fastener Point Cloud Segmentation and Damage Quantification Based on Deep Learning and Synthetic Data Augmentation.
J. Comput. Civ. Eng., 2025

LiDAR-Simulated Multimodal and Self-Supervised Contrastive Digital Twin Approach for Probabilistic Point Cloud Generation of Rail Fasteners.
J. Comput. Civ. Eng., 2025

Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation via Knowledge Distillation.
J. Comput. Civ. Eng., 2025

Attention-guided triplet framework for synthetic data generation and semantic segmentation of railway fasteners under data scarcity and disparity.
Appl. Soft Comput., 2025

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2024
A multi-degree-of-freedom monitoring method for slope displacement based on stereo vision.
Comput. Aided Civ. Infrastructure Eng., July, 2024

Automated detection and quantification of pavement cracking around manhole.
Eng. Appl. Artif. Intell., 2024

Digital Twin Technologies in Transportation Infrastructure Management
Springer, ISBN: 978-981-99-5803-0, 2024

2023
Position-track-time three-dimensional network model-based improvement for high-speed rail scheduling and operation.
Comput. Aided Civ. Infrastructure Eng., April, 2023

Semantic Segmentation of Railway Infrastructure Based on Virtual Model Synthetic Data.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023


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