Weizheng Wang 王维政
Master's student in Artificial Intelligence and Machine Learning at the University of Adelaide
I study efficient and robust perception for UAVs and edge devices, with a focus on computer vision, infrared-visible learning, multimodal systems, and deployment-aware machine learning.
Before Adelaide, I completed a B.Eng. in Computer Science and Technology at North China Institute of Science and Technology, where I worked on UAV monitoring, object detection, and practical perception systems.
Research interests: computer vision, multimodal learning, UAV perception, edge intelligence, and natural language processing.
Selected Publications
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A Lightweight Thermal Denoising and Occlusion-Robust Infrared Detection Model for Substation Equipment
W. Wang, J. Wu, and L. Tian. Submitted to ICIP 2026. Under review.
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A lightweight insulator defect detection algorithm based on drone images for power line inspection
J. Wu, W. Wang, et al. Engineering Research Express, 2025. DOI
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Real-time monitoring of trucks used in open pit based on aerial video of UAV
W. Wang, J. Wu, et al. RAIIC, 2024. DOI
Updates
- Started the Master of Artificial Intelligence and Machine Learning at the University of Adelaide.
- Submitted work on lightweight thermal denoising and infrared detection to ICIP 2026.
- Published work on lightweight UAV-based insulator defect detection in Engineering Research Express.
Research Experience
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Huawei MindSpore Open-Source Community
Contributed to MindNLP model integration and fine-tuning workflows for Autoformer, BEiT, and ALBERT, with attention to training stability and reproducibility.
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Automatic Inspection and Rescue Based on Drone Nest
Developed UAV inspection pipelines using DeepSORT and YOLOv8, with ONNX export for real-time edge inference.
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Baiyangdian Ecological IoT Monitoring System
Studied efficient truck detection and infrared-visible UAV perception using YOLO-family models under practical latency constraints.
Education
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University of Adelaide
Master of Artificial Intelligence and Machine Learning -
North China Institute of Science and Technology
B.Eng. in Computer Science and Technology, GPA 90.84/100
Selected Honors
View all- University of Adelaide Global Citizens 30% International Scholarship
- Principal Investigator, National Undergraduate Innovation Training Program
- Second Prize, Challenge Cup Science and Technology Invention and Creation Track