Weichen Wang

Master of Computer Science student at the University of Melbourne with a strong academic background and practical experience in data analysis, software development, and big data processing. Engaged in advanced research projects including mood-driven colorization and X-ray spine scoliosis detection algorithms. Proficient in multiple programming languages and web development technologies. Demonstrated capabilities through internships and extracurricular activities.

Project: Mood-driven Colorization

• Using PyTorch framework, modified the existed models in arXiv:1603.08511 [cs.CV] and introduced emotion selection as a vector into the fully connected layer of the image generation model;
• Developed a visually appealing real-time colorization system to generate colorization effects according to different emotion selections.

Project: X-ray Spine Scoliosis Detection Algorithm Based on Deep Learning

• Selected the skip connection structure of "U-net" from various image segmentation networks;
• Incorporated Transformer structures to create an improved model that boasts higher accuracy and speed;
• Developed an algorithm that can identify and segment relevant vertebrae from a full-spine X-ray image to calculate the Cobb angle (a medical term used to assess the severity of scoliosis) and then automatically generate the detection result.