I am Peizhe Zhao, a student at Nanjing University of Information Science and Technology majoring in Artificial Intelligence, concurrently pursuing a BE in Applied Computing at South East Technological University. My research focuses on vision, machine learning, human-computer interaction and cybersecurity. I have published papers on fabric defect detection and athlete performance analysis.

My published papers at international conferences with google scholar citations several .

🔥 News

• 2025.02:  🎉🎉 Submit paper “SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection” on arXiv
• 2024.10:  🎉🎉 Presented conference paper at ICBAIE 2024 as Student Delegate

📝 Publications

arXiv version

SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection

Peizhe Zhao

Project

• Based on the YOLOv11 architecture, several innovative modules have been proposed to enhance the performance of fabric defect detection.
• Furthermore, a comprehensive dataset of fabric defects has been curated and systematically organized for the purpose of model training and evaluation.

• ACAIB 2025 Tennis Match Prediction Model Based on Deep Learning and Multi-Source Information Fusion, Tianyu Luo, Peizhe Zhao, Xu Cheng.
• CISCE 2024 Athlete Performance Analysis: Machine Learning for Predicting Tennis Player Scores, Peizhe Zhao, Tianyu Luo, Pengfei Bi.

📖 Educations

• | 2022.09 - present, Nanjing University of Information Science and Technology, BE in Artificial Intelligence
• | 2022.09 - present, South East Technological University, BE in Applied Computing

💻 Internships

• | 2025.06 - present, Visiting Student, Shenzhen University of Advanced Technology (Advanced Bioelectronics Laboratory)

💬 Academic Services

• 2025.07-2025.08, Program Committee Member for 22th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025)
• 2025.07-2025.08, Program Committee Member for 6th International Conference on Machine Learning Techniques and Data Science (MLDS 2025)
• 2025.04-2025.05, Reviewer for 34th International Conference on Artificial Neural Networks (ICANN 2025)
• 2025.02-2025.02, Program Committee Member for 8th International Conference on Natural Language Processing and Trends (NATAP 2025)

🎖 Honors and Awards

• 2024.06 Certified Information Security Professional - Penetration Test Engineer
• 2024 2nd Prize - Nanjing University of Information Science and Technology School Scholarship
• 2024 1st Prize - China International College Students’ Innovation Competition