Dr. Yuxuan Zhang

Dr. Yuxuan Zhang

Assistant Professor in Embedded Systems and IoT at Beijing University of Agriculture

CV

Updated on October 13, 2025

Work Experience

Education

Research Interests

TinyML, On-device Training, Nondestructive Testing, Smart Sensing and Measurement Systems in Structural Health Monitoring, Smart Agriculture and Industrial Maintenance.

Publications

First Author / Co-First Author(#) / Corresponding Author(*)

Journal Papers

  1. Yuxuan Zhang, Veysi Adin, Sebastian Bader*, Bengt Oelmann. (2023). “Leveraging acoustic emission and machine learning for concrete materials damage classification on embedded devices.” IEEE Transactions on Instrumentation and Measurement, 1-8. (IF 5.9, JCR Q1, 中科院2区)
  2. Chengjie Huang, Xinjuan Sun, Yuxuan Zhang*. (2024). “Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring.” Sensors, 24(13), 4124. (IF 3.5, JCR Q2, 中科院3区)
  3. Yuxuan Zhang, Rhys Pullin, Bengt Oelmann, Sebastian Bader*. (2025). “On-Device Fault Diagnosis with Augmented Acoustic Emission Data: A Case Study on Carbon Fiber Panels.” IEEE Transactions on Instrumentation and Measurement, 1-12 (IF 5.9, JCR Q1, 中科院2区)
  4. Guanhua Li, Menghan Chen, Yuxuan Zhang*. (2025). “Rolling bearing fault diagnosis in noisy environments using Channel-Time parallel attention networks.” Scientific Reports, 15, 35034. (IF 3.9, JCR Q1, 中科院3区)
  5. Yuchen Lu#, Yuxuan Zhang#, Menghan Chen, Qiangqiang Liu, Xiaoran Wang, Zenghua Liu, Hongbing Liu*. (2025). “Acoustic emission-based graph learning for internal valve leakage localisation in offshore pipelines.” Nondestructive Testing and Evaluation, 1-29. (IF 4.2, JCR Q1, 中科院2区)
  6. Yuxuan Zhang*, Nürnberg Arne, Luciano Martinez Rau, Quynh Nguyen Phuong Vu, Yuchen Lu, Bengt Oelmann, Sebastian Bader. (2025). “TinyML Pipeline for Efficient Crack Classification in UAV-based Structural Health Inspections.” Measurement (under review). (IF 5.6, JCR Q1, 中科院2区)
  7. Yuchen Lu#, Yuxuan Zhang#, Zhimeng Huang, Qingyang Wei, Liangliang Cheng, Yifei Li*, Maosen Cao. (2025). “Task-Guided and Region-Focused Knowledge Distillation for Pipeline Leak Detection in Edge Computing.” Mechanical Systems and Signal Processing (under review). (IF 8.9, JCR Q1, 中科院1区Top)
  8. Chaoyue Han, Shuo Kang, Lipengcheng Wan, Dongdong Du*, Yuxuan Zhang*, Yuchen Lu, Jun Wang. (2025). “Tactile Sensing-Based Measurement and Correlation Analysis for Peach Ripeness Assessment.” IEEE Transactions on Instrumentation and Measurement (under review). (IF 5.9, JCR Q1, 中科院2区)
  9. Yuchen Lu#, Yuxuan Zhang#, Sebastian Bader, Zhenhao Zhu and Hongbing Liu*. (2025). “TinyLN: A Lightweight Network for Real-time Pipeline Leakage Detection on Edge Devices.”IEEE Transactions on Instrumentation and Measurement (under review). (IF 5.9, JCR Q1, 中科院2区)

Conference Papers

  1. Yuxuan Zhang, Sebastian Bader*, Bengt Oelmann. (2022). “A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions.” In 2022 IEEE Sensors Applications Symposium (SAS), 1-6.
  2. Yuxuan Zhang, Luciano Sebastian Martinez Rau, Bengt Oelmann, Sebastian Bader*. (2024). “Enabling Autonomous Structural Inspections with Tiny Machine Learning on UAVs.” In 2024 IEEE Sensors Applications Symposium (SAS), 1-6.
  3. Yuxuan Zhang*, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann and Sebastian Bader. (2025). “Survey of Quantization Techniques for On-Device Vision-based Crack Detection.” In 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1-6.
  4. Yuxuan Zhang*, Ye Xu, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann and Sebastian Bader. (2025). “On-Device Crack Segmentation for Edge Structural Health Monitoring.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6.

Co-Author

Journals

  1. Yang Xie, Yali Nie, Jan Lundgren, Mingliang Yang, Yuxuan Zhang, Zhenbo Chen*. (2024). “Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images.” Sensors, 24(11), 3428. (IF 3.5, JCR Q2, 中科院3区)
  2. Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. (2025). “On-device Anomaly Detection in Conveyor Belt Operations.” IEEE Open Journal of Instrumentation and Measurement. 1-9.(IF 1.5)
  3. Yuchen Lu, Yifei Li, Yuxuan Zhang, Xin Wang, Menghan Chen, Chuanyang Zhao, M. Abdel Wahab, Hongbing Liu*. (2025). “.” Engineering Structures (under review). (IF 6.4, JCR Q1, 中科院1区Top)

Conference Papers

  1. Veysi Adin, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader*. (2023). “Tiny Machine Learning for Damage Classification in Concrete using Acoustic Emission Signals.” In 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1-6.
  2. Veysi Adin, Yuxuan Zhang, Bruno Ando, Bengt Oelmann, Sebastian Bader*. (2023). “Tiny Machine Learning for Real-Time Postural Stability Analysis.” In 2023 IEEE Sensors Applications Symposium (SAS), 1-6.
  3. Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. (2024). “TinyML Anomaly Detection for Industrial Machines with Periodic Duty Cycles.” In 2024 IEEE Sensors Applications Symposium (SAS), 1-6.
  4. Uditha Muthumala, Yuxuan Zhang, Luciano Sebastian Martinez Rau and Sebastian Bader*. (2024). “Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis.” In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), pp. 444–449.
  5. Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Quynh Nguyen Phuong Vu, Bengt Oelmann and Sebastian Bader. (2025). “An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations.” In 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1-6.
  6. Xiaoran Wang, Hongyu Li, Zhenghua Liu, Jianing Zhang, Yuxuan Zhang, Sebastian Bader. (2025). “Long short-term memory-optimized time difference mapping for enhanced acoustic emission source localization in composite materials.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6.
  7. Wei Li, Xiaochun Wu, Xiaoxi Hu, Yuxuan Zhang, Sebastian Bader, Yuhan Huang. (2025). “LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6.
  8. Quynh Nguyen Phuong Vu*, Luciano Sebastian Martinez Rau, Yuxuan Zhang, Duc Nko Tran, Bengt Oelmann, Michele Magno and Sebastian Bader. (2025). “Efficient Continual Learning in Keyword Spotting using Binary Neural Networks.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6.

Licentiate Thesis, Comprehensive Summaries

  1. Yuxuan Zhang. (2024). “Tiny Machine Learning for Structural Health Monitoring with Acoustic Emissions.” Lic. (Comprehensive summary) Sundsvall : Mid Sweden University, 2024 (Mid Sweden University licentiate thesis : 204)

Doctoral Thesis, Comprehensive Summaries

  1. Yuxuan Zhang. (2025). “Efficient On-Device Intelligence for Structural Health Monitoring: A TinyML Perspective.” Dr. (Comprehensive summary) Sundsvall : Mid Sweden University, 2025 (Mid Sweden University Doctoral thesis : 434)

Service and Leadership