Weizheng Wang 「王维政」
I am an undergraduate student pursuing a Bachelor’s Degree in Computer Science and Technology at North China Institute of Science and Technology (9/2021 - 7/2025, GPA: 90.84/100). My interests lie in deep learning, computer vision, and natural language processing, with a focus on solving real-world problems through innovative technology.
Status: I am starting my Master of Artificial Intelligence and Machine Learning at the University of Adelaide in September 2025. I am currently seeking part-time research assistant opportunities and planning for future PhD applications in the fields of computer vision, multimodal learning, and NLP.
Focus: How to make computer vision more accurate and faster to detect on edge devices such as drones. How to make the organic combination of multimodal model and UAV more effective, safety and accurate.
Method: Utilizing Machine Learning and Deep Learning methods in drones, robots, and other edge device.
News
- [03/2025] Published a paper on Journal of Computer and Communications.
- [02/2025] working on mindspore opensource internship.
- [11/2024] Filed an invention patent application for “A Dual-Optical Personnel Search and Rescue Positioning Visual System on Drones”.
- [07/2024] Published a paper on improved YOLOv8 for industrial meter readings at EIBDCT 2024.
- [06/2024] Presented real-time truck monitoring research at RAIIC 2024.
- [01/2024] Started internship at Beijing Elite Intelligence Company on drone-based inspection and rescue.
- [12/2023] Awarded Utility Model Patent for “Automatic Battery Change Arm for Drones” (Patent No. ZL 202323426097.6).
-
[11/2023] Received Grand Award at National 3D Digitization Innovation Competition.
Publications
- Ren, G. , Wu, J. and Wang, W. (2025) Research on UAV Target Detection Based on Improved YOLOv11. Journal of Computer and Communications, 13, 74-85. DOI: 10.4236/jcc.2025.133006.
- Wang, W., Wu, J., et al. (2024). “Real-time monitoring of trucks used in open pit based on aerial video of UAV.” 2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC), 130-138. DOI: 10.1109/RAIIC61787.2024.10671199.
- Wu, J., Wang, W., et al. (2024). “Research on industrial meter readings based on improved YOLOv8.” Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131815G. DOI: 10.1117/12.3031129.
- Wu, J., Wang, W., et al. (2023). “Study on the Application of Real-Time Drone Monitoring in Ordos Open-Pit Coal Mine.” Open Journal of Applied Sciences, 13, 483-495. DOI: 10.4236/ojapps.2023.134039.
Patents
-
Invention Patent (Under Substantive Examination): “A Dual-Optical Personnel Search and Rescue Positioning Visual System on Drones.” Application No. CN 119429233 A.
-
Utility Model Patent (Granted): “Automatic Battery Change Arm for Drones.” Patent No. ZL 2023 2 3426097.6.
Projects
Robotics plus Applications: Automatic Inspection and Rescue Based on Drone Nest
January 2024 - July 2024
Beijing Elite Intelligence Company & North China Institute of Science and Technology
- Built services including water count detection, conveyor belt deviation detection, and truck tracking using DeepSort+YOLOv8 in open-pit mines.
- Technical Stack: PyTorch, ONNX, Linux, YOLO.
Baiyangdian Ecological Internet of Things Three-dimensional Monitoring System
June 2023 - January 2024
Hebei Province Key Scientific Research and Development Project (Project Number: 19270318D)
- Developed object detection for mining trucks using Yolov7tiny (Darknet), improving recognition accuracy by 2% with minimal FPS loss.
- Enhanced dual-modal (infrared-visible light) object detection with YOLOv8 for drone-based low-altitude monitoring, achieving 65% mAP at 30 FPS on a laptop.
Honors and Awards
- 2024: Hosted a national-level undergraduate innovation training research project.
- 2023: Grand Award, National 3D Digitization Innovation Competition.
- 2023: First Prize, National College Students’ Data Analysis Competition.
- 2023: Bronze Award, China International College Students’ Innovation Competition.
- 2022: First-Class Scholarship
- 2022: First Prize, National College Students’ Technological Innovation and Entrepreneurship Competition.