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PhD Candidate

Technical University Munich

AI Researcher

Siemens

Pioneering research on anomaly detection for industrial applications and incubation of products driven by technology.

• Project Lead for 'Universal Visual Anomaly Detection'
• Specialize in computer vision algorithms such as anomaly detection, few-shot learning, and object detection to tackle complex manufacturing challenges
• Deployment Success: Deployed and scaled a battery pack foreign object detection system on BMW's electric vehicle production line in Shenyang
• Pilot Success: Engineered quality inspection for PCB boards via few-shot fine-grained AD model for PCB boards
• Research Success: Collaborated with Tencent AI Lab on generalized anomaly detection research

Intern as algorithm researcher

Sensetime

Augemented reality and mix reality implementation

• Real-time image matting in Unity
• Live-streaming from a third-person perspective for the game player
• Fastest YOLO deployment on AR Glasses

Intern for computer vision

Subtal Medical

Medical image enhancement and denoising

• Enhancing the quality of PET images using super-resolution algorithms
• MICCAI challenge for unsupervised domain adaptation via cycle consistancy

Master

Technical University of Munich

Computer Science

Bachelor

Tongji University

Mechatronics & Automation

Graduate with Distinction

Technical University of Munich

Top 20% graduates from Technical University of Munich

DAAD scholarship

Germany Academic Exchange Service

Scholarship for abroad student in Germany

DefCor-Net: Physics-Aware Ultrasound Deformation Correction

Medical Image Analysis

Deformation-Aware Robotic 3D Ultrasound

Robotic Automation Letter