Yuxuan Zhang

Publikationer

Artiklar i tidskrifter
Doktorsavhandlingar, sammanläggningar
Konferensbidrag
Licentiatavhandlingar, sammanläggningar

Artiklar i tidskrifter

Sun, W. , Xie, F. , Zhang, Y. , Wei, L. , Chu, F. & Tang, X. (2026). FDE : A Frequency-Domain Enhancement method for object detection in complex traffic scenes. Computer Vision and Image Understanding, vol. 265  

Lu, Y. , Li, Y. , Liu, H. , Zhang, Y. , Wang, X. , Chen, M. , Zhao, C. & Abdel Wahab, M. A. (2026). Learning multi-dimensional sensor relationships for robust marine pipeline leakage non-destructive detection via adaptive graph networks. Engineering structures, vol. 350  

Chen, M. , Zhang, Y. , Ye, Y. & Lu, Y. (2026). physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. Scientific Reports, vol. 16: 1    

Zhang, Y. , Lu, Y. , Martinez Rau, L. S. , Qiu, Q. & Bader, S. (2026). Real-time on-device weed identification using a hardware-efficient lightweight CNN. Frontiers in Plant Science, vol. 17    

Lu, Y. , Zhang, Y. , Qiu, X. , Ren, W. , Zhao, C. , Chen, M. , Li, Y. , Bader, S. & et al. (2026). Structural health monitoring of offshore pipelines via a novel spatial-topological adaptive graph neural network. Structural Health Monitoring,  

Lu, Y. , Zhang, Y. , Liu, H. & Bader, S. (2026). TinyLSN : A Lightweight Network for Real-Time Marine Pipeline Leakage Detection in IoT Systems. IEEE Internet of Things Journal,  

Lu, Y. , Zhang, Y. , Chen, M. , Liu, Q. , Wang, X. , Liu, Z. & Liu, H. (2025). Acoustic emission-based graph learning for internal valve leakage localisation in offshore pipelines. Nondestructive Testing and Evaluation,  

He, R. , Zhang, Q. , Wang, C. , Chen, Z. , Zhang, Y. & Bader, S. (2025). Low-SNR Microseismic Source Localization via Multiscale Convolutional Network With Coordinate Attention. IEEE Transactions on Instrumentation and Measurement, vol. 74  

Martinez Rau, L. , Zhang, Y. , Oelmann, B. & Bader, S. (2025). On-Device Anomaly Detection in Conveyor Belt Operations. IEEE Open Journal of Instrumentation and Measurement, vol. 4    

Zhang, Y. , Pullin, R. , Oelmann, B. & Bader, S. (2025). On-Device Fault Diagnosis with Augmented Acoustic Emission Data : A Case Study on Carbon Fiber Panels. IEEE Transactions on Instrumentation and Measurement, vol. 74, ss. 1-12.  

Li, G. , Chen, M. , Lu, Y. & Zhang, Y. (2025). Rolling bearing fault diagnosis in noisy environments using Channel-Time parallel attention networks. Scientific Reports, vol. 15: 1    

Xie, Y. , Nie, Y. , Lundgren, J. , Yang, M. , Zhang, Y. & Chen, Z. (2024). Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images. Sensors, vol. 24: 11    

Huang, C. , Sun, X. & Zhang, Y. (2024). Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring. Sensors, vol. 24: 13    

Zhang, Y. , Adin, V. , Bader, S. & Oelmann, B. (2023). Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classification on Embedded Devices. IEEE Transactions on Instrumentation and Measurement, vol. 72  

Doktorsavhandlingar

Zhang, Y. (2025). Efficient On-Device Intelligence for Structural Health Monitoring : A TinyML Perspective. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2025 (Mid Sweden University doctoral thesis : 434)  

Konferensbidrag

Martinez Rau, L. , Nguyen Phuong Vu, Q. , Zhang, Y. , Oelmann, B. & Bader, S. (2025). Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning. I 2025 IEEE 11th World Forum on Internet of Things (WF-IoT).. S. 1--6.  

Martinez Rau, L. S. , Zhang, Y. , Nguyen Phuong Vu, Q. , Oelmann, B. & Bader, S. (2025). An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations. I 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).  

Nguyen Phuong Vu, Q. , Martinez Rau, L. S. , Zhang, Y. , Tran, N. D. , Oelmann, B. , Magno, M. & Bader, S. (2025). Efficient Continual Learning in Keyword Spotting using Binary Neural Networks. I 2025 IEEE Sensors Applications Symposium (SAS).. S. 1--6.  

Li, W. , Wu, X. , Hu, X. , Zhang, Y. , Bader, S. & Huang, Y. (2025). LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines. I 2025 IEEE Sensors Applications Symposium (SAS).. S. 1--6.  

Wang, X. , Li, H. , Liu, Z. , Zhang, J. , Zhang, Y. & Bader, S. (2025). Long short-term memory-optimized time difference mapping for enhanced acoustic emission source localization in composite materials. I 2025 IEEE Sensors Applications Symposium (SAS).. S. 1--6.  

Zhang, Y. , Xu, Y. , Martinez Rau, L. S. , Nguyen Phuong Vu, Q. , Oelmann, B. & Bader, S. (2025). On-Device Crack Segmentation for Edge Structural Health Monitoring. I 2025 IEEE Sensors Applications Symposium (SAS).. S. 1--6.  

Zhang, Y. , Martinez Rau, L. S. , Nguyen Phuong Vu, Q. , Oelmann, B. & Bader, S. (2025). Survey of Quantization Techniques for On-Device Vision-based Crack Detection. I 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).  

Muthumala, U. , Zhang, Y. , Martinez Rau, L. & Bader, S. (2024). Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis. I 2024 IEEE 10th World Forum on Internet of Things (WF-IoT).  

Zhang, Y. , Martinez Rau, L. , Oelmann, B. & Bader, S. (2024). Enabling Autonomous Structural Inspections with Tiny Machine Learning on UAVs. I 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.  

Martinez Rau, L. , Zhang, Y. , Oelmann, B. & Bader, S. (2024). TinyML Anomaly Detection for Industrial Machines with Periodic Duty Cycles. I 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.  

Adin, V. , Zhang, Y. , Oelmann, B. & Bader, S. (2023). Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals. I 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).  

Adin, V. , Zhang, Y. , Ando, B. , Oelmann, B. & Bader, S. (2023). Tiny Machine Learning for Real-Time Postural Stability Analysis. I 2023 IEEE Sensors Applications Symposium (SAS).  

Zhang, Y. , Bader, S. & Oelmann, B. (2022). A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions. I 2022 IEEE Sensors Applications Symposium, SAS 2022 - Proceedings.  

Licentiatavhandlingar

Zhang, Y. (2024). Tiny Machine Learning for Structural Health Monitoring with Acoustic Emissions. Lic.-avh. (Sammanläggning) Sundsvall : Mid Sweden University, 2024 (Mid Sweden University licentiate thesis : 204)  

Manuskript

Zhang, Y. , Nürnberg, A. , Martinez Rau, L. , Nguyen Phuong Vu, Q. , Lu, Y. , Oelmann, B. & Bader, S. TinyML Pipeline for Efficient Crack Classification in UAV-based Structural Health Inspections.