CV

Research Summary

Undergraduate researcher focusing on industrial artificial intelligence, intelligent inspection systems, computer vision, acoustic emission signal analysis, and deep learning-based fault diagnosis. Current research interests include YOLO-based visual detection, embedded AI deployment, industrial IoT systems, and non-stationary signal analysis for equipment condition monitoring.

Education

• Guangdong University of Petrochemical Technology, Guangdong, China
  B.E. in Process Equipment and Control Engineering, 2023 – 2027
  Supervisor: Prof. Yan-Zuo Chang

Research Experience

Provincial Undergraduate Innovation Project (Principal Investigator)

Intelligent Rescue Platform Based on YOLOv11 and MobileViT
2025 – Present

• Designed lightweight intelligent rescue detection framework based on YOLOv11 and MobileViT
• Developed PCB systems using EasyEDA for embedded deployment
• Participated in embedded communication debugging and system integration

University-level Undergraduate Innovation Project (Principal Investigator)

Mechanical Lock-based Multifunctional Unlocking System
2023 – 2024

• Developed Arduino-based intelligent unlocking system integrating RFID and gas sensing modules
• Implemented UART, SPI, and IIC communication protocols
• Completed embedded debugging and hardware validation

National Undergraduate Innovation Project (Research Participant)

Petrochemical Security Inspection Collaborative Platform
2023 – 2024

• Participated in ROS-based intelligent inspection vehicle testing
• Assisted in deployment validation and troubleshooting

National Undergraduate Innovation Project (Research Participant)

Intelligent Air Sterilization System
2023 – 2024

• Implemented MQTT-based IoT communication functions
• Developed PCB systems and embedded debugging workflows
• Worked with STM32-based industrial embedded systems

Publications

Selected Publications

Computer Vision and Intelligent Inspection

• Liu-Yi Yu, Yan-Zuo Chang, Fu-Ping Guo, Lin-Po Shang, Yi Chen, Yu Liu, and Yi-Ling Pan.
  “Face Detection Study Based on YOLOv11n Improved ViT with AKConv.”
  2025 IEEE 7th International Conference on Communications, Information System and Computer Engineering (CISCE 2025).
  EI Indexed.
  DOI: 10.1109/CISCE65916.2025.11065738

• Lin-Po Shang, Yan-Zuo Chang, Yi Chen, Liu-Yi Yu, et al.
  “Research on YOLOv8 Detection Algorithm Based on SKAttention Fusion.”
  2024 5th International Conference on Machine Learning and Computer Application (ICMLCA).
  EI Indexed.
  DOI: 10.1109/ICMLCA63499.2024.10754253

• Yi Chen, Yan-Zuo Chang, Fu-Ping Guo, Lin-Po Shang, and Liu-Yi Yu.
  “Research on Lemon Surface Defect Detection Based on YOLOv8-SGN Model.”
  IEEE CISCE 2025.
  EI Indexed.
  DOI: 10.1109/CISCE65916.2025.11065766

Acoustic Emission and Fault Diagnosis

• Xin-Yu Guo, Liu-Yi Yu, and Yan-Zuo Chang.
  “Damage Localization for Type IV Composite Pressure Vessels Based on YOLOv11 with Dynamic Convolution, EMA and AE Time-Frequency Analysis.”
  IEEE CISCE 2026.
  EI Indexed.
  DOI: 10.1109/CISCE69494.2026.11504488

• Xin-Yu Guo, Liu-Yi Yu, Yi Chen, and Yan-Zuo Chang.
  “A Classification Method for Bearing Surface Defects Based on Acoustic Emission Technology and the YOLO-V11 Algorithm.”
  International Journal of Advanced Engineering Research and Science, 2025.
  DOI: 10.22161/ijaers.1212.4

Full Publication List

Damage Localization for Type IV Composite Pressure Vessels Based on YOLOv11 with Dynamic Convolution, EMA and AE Time-Frequency Analysis

Xin-Yu Guo, Liu-Yi Yu, and Yan-Zuo Chang, “Damage Localization for Type IV Composite Pressure Vessels Based on YOLOv11 with Dynamic Convolution, EMA and AE Time-Frequency Analysis,” in Proc. IEEE CISCE 2026, Guangzhou, China, 2026.

A Classification Method for Bearing Surface Defects Based on Acoustic Emission Technology and the YOLO-V11 Algorithm

Xin-Yu Guo, Liu-Yi Yu, Yi Chen, and Yan-Zuo Chang, “A Classification Method for Bearing Surface Defects Based on Acoustic Emission Technology and the YOLO-V11 Algorithm,” International Journal of Advanced Engineering Research and Science, vol. 12, no. 12, pp. 48-53, 2025.

Face Detection Study Based on YOLOv11n Improved ViT with AKConv

Liu-Yi Yu, Yan-Zuo Chang, Fu-Ping Guo, Lin-Po Shang, Yi Chen, Yu Liu, and Yi-Ling Pan, “Face Detection Study Based on YOLOv11n Improved ViT with AKConv,” in Proc. IEEE CISCE 2025, Guangzhou, China, 2025.

A Design of Intelligent Range Hood Based on Arduino

Liu Yi Yu, Yan Zuo Chang, Lin Po Shang, Ze Feng Ling, Yi Chen, Yan Hai Li, Jian Bin Cai, and Young Shan Ou, “A Design of Intelligent Range Hood Based on Arduino,” International Journal of Advanced Engineering Research and Science, vol. 11, no. 12, pp. 90-97, 2024.

Patents

• National Invention Patent
  Equipment Based on Chlorine Dioxide Gas Concentration Detection
  Patent No.: ZL 2024 1 1837315.1

• National Design Patent
  Inspection Robot
  Patent No.: ZL 2024 3 0541036.5

Technical Skills

Programming and Deep Learning

• Python
• C/C++
• MATLAB
• PyTorch
• YOLOv8 / YOLOv11
• Vision Transformer (ViT)

Embedded Systems and IoT

• STM32
• Arduino
• MQTT
• UART / SPI / IIC Communication Protocols
• Embedded Deployment

Engineering and Research Tools

• Linux
• ROS
• EasyEDA
• SolidWorks
• Git
• VSCode

Honors and Awards

• Bronze Award, China International College Students’ Innovation Competition, National Final (2024)

• Silver Award, China International College Students’ Innovation Competition, Guangdong Provincial Competition (2024)

• Second Prize, iCAN Innovation and Entrepreneurship Competition, National Final (2024)

• Outstanding AI+ Research Case, Guangdong University of Petrochemical Technology (2025)

Academic Activities

• Invited participant in the lecture activity “Introduction to Artificial Intelligence” organized by Prof. Yan-Zuo Chang (2025)

• Long-term participation in interdisciplinary research involving industrial AI, intelligent inspection systems, embedded AI, and fault diagnosis

Service and Leadership

• Station Director, Yiban Student Organization, School of Energy and Power Engineering, Guangdong University of Petrochemical Technology (2025 – 2026)

• Deputy Director, Yiban Student Organization, School of Energy and Power Engineering (2024 – 2025)

• Minister of Publicity Department, Yiban Student Organization (2023 – 2024)