Passionate electronic engineer and AI researcher with expertise in embedded systems, computer vision, and deep learning. Proven track record in academic research, technical competitions, and entrepreneurial ventures.
Proficient in embedded development (STM32), PyTorch framework, YOLO series models, and deep learning algorithms. Experienced with feature engineering and mathematical modeling methods like LightGBM/XGBoost. Skilled in C/Python development with full project implementation capabilities.
Possess excellent logical analysis and leadership skills. Proactive, self-driven, and enjoy interpersonal communication. Energetic and capable of working efficiently in fast-paced environments.
Bachelor of Engineering in Electronic Information Engineering
Core Courses: Machine Learning, Digital Image Processing, Digital Signal Processing, Communication Principles, Signals and Systems
Project Topic: Intelligent Dual-Spectrum Detection System for Urban Low-Altitude UAV Swarms
"Low-Small-Moving" (LSM) UAVs pose critical security threats in urban airspace. Existing detectors suffer from low accuracy (e.g., 80.7% mAP for YOLOv7) due to small target size (0.04%-0.12% image area), complex backgrounds, and environmental interference.
Two-Stage Framework: ViBe → Target Cropping → Enhanced YOLOv7 → Coordinate Regression
Dataset: 8,249 images (Simple/Medium/Complex backgrounds)
Key Results: mAP@0.5: 96.5% (vs. 80.7% for YOLOv7)
Ablation Study: +ViBe: +8.9% → +CA: +3.1% → +SPDConv: +3.0%
Speed: 119.5 GFLOPs (Real-time on NVIDIA A100)
Visual Comparison: Higher confidence in complex scenes
Conclusion: Our method boosts LSM-UAV detection by 15.8% mAP via ViBe-based motion target focusing, CA-enhanced feature extraction, and SPDConv for small-object detail retention.
Publication: Cui, Y.Q., Li, J.X.*, Hou, L.G., et al. Enhanced YOLOv7 Method for Small UAV Target Detection in Urban Environments [J]. Computer Engineering and Applications (indexed in EI Compendex / Chinese Core Journal), 2024, 60(10): 237-245. (with supervisor as first author)
Achievement: National Second Prize
Team Role: Team Leader
Topic: Problem H Signal Separation Device
Achievement: Provincial Second Prize
Team Role: Team Leader
Topic: Problem H Signal Separation Device
Role & Company Overview: Partner at Mengyang (Hubei) E-commerce Co., Ltd., specializing in apparel e-commerce, responsible for the Douyin MOONYOUNG store operations since November 2024. Focused on building and managing the end-to-end commercial ecosystem.
MOONYOUNG Brand Concept: Pursuing genderless, undefined clothing.
Major Achievements: Achieved a monthly GMV exceeding 100,000 RMB within the first three months, transforming the store from an unknown brand with zero followers to a Douyin Silver Medal store with a 100% positive feedback rate.
Key Responsibilities:
Served as Vice President of the Electronic Design Association at South-Central Minzu University. Responsible for organizing technical training, skill instruction, and project progress management for the association and related professional competitions.
Organized and executed:
Debating Career: Served as Member of the Debate Team at South-Central Minzu University. Participated in departmental and university-level debate competitions.
Achievements: