EN-US 
ZH 
Students from the Department of Computer Science and Engineering, College of Informatics, Yuan Ze University, delivered outstanding performances at the 2026 Chinese Institute of Engineers Student Paper Competition. In the Computer Science and Engineering Division, they received one Excellence Award and two Honorable Mention Awards, earning a total of three awards and demonstrating the department’s research strength and innovative achievements in artificial intelligence, edge computing, and intelligent sensing.
Among the award-winning projects, the paper entitled “A Real-Time Nighttime Image Defogging and YOLOv8 Object Detection Collaborative System Based on the SMFDE Framework,” led by Chun-Hsien Shen under the supervision of Professor Ming-Yi Lin, received the Excellence Award in the Computer Science and Engineering Division. The research successfully integrated nighttime image defogging technology with the YOLOv8 object detection model, significantly enhancing the visual recognition capabilities of edge devices in low-light and adverse weather conditions. The study demonstrated considerable application potential for intelligent transportation and autonomous driving systems.
The other two papers received Honorable Mention Awards. One was “F-PoT: An Ultra-Low-Bit Power-of-Two Transformer Quantization Hardware-Software Co-Design Framework for Edge Devices,” led by Yu-Chieh Huang. The other was “An Ultra-Lightweight Neural Network with Bi-Directional Feature Encoding Attention Mechanisms for Autonomous Driving Perception Systems,” led by Che-Chi Lee. Both studies focused on improving the computational efficiency of edge AI and enhancing the performance of autonomous driving perception systems while achieving a balance between model lightweighting and high-performance computing. The research highlighted the students’ capabilities in developing advanced AI technologies.
The award-winning projects also involved Yu-Ru Chen and Chen-Pei Hsu, whose contributions and assistance played important roles throughout the research process. The judges highly recognized the team's collaborative achievements.
Award recipients Chun-Hsien Shen, Yu-Chieh Huang, Che-Chi Lee, Yu-Ru Chen, and Chen-Pei Hsu stated that the awards not only affirmed their research accomplishments but also motivated them to continue pursuing academic research. They expressed gratitude to Professor Ming-Yi Lin for his dedicated guidance and support, which enabled the team to continuously improve through repeated experimentation and challenges and ultimately achieve excellent results in the national competition.
Professor Ming-Yi Lin noted that the three award-winning papers all focused on key technologies in artificial intelligence and edge computing. The SMFDE study effectively enhanced real-time visual perception capabilities under nighttime and adverse environmental conditions. F-PoT proposed a Transformer quantization hardware-software co-design framework suitable for edge devices, balancing computational efficiency and model performance. SCA-SwiftNet introduced an innovative attention mechanism design to develop an ultra-lightweight neural network tailored for autonomous driving perception systems. All three studies demonstrated strong practical application potential and were expected to provide significant technological support for the development of intelligent transportation, smart vehicles, and edge AI.
Yuan Ze University stated that the Department of Computer Science and Engineering had long been committed to research in advanced technologies such as artificial intelligence, intelligent sensing, and embedded systems. Through rigorous research training and interdisciplinary practical experience, the department had continuously cultivated information technology professionals with innovative capabilities and international competitiveness. The students’ outstanding achievements in this national competition once again demonstrated the department’s exceptional research capacity and accomplishments in talent cultivation.
