Under the supervision of Sikun Yang, engaged in research on Denoising Diffusion Probabilistic Models and Score Matching with Neural Networks. Responsibilities included:

• In-depth literature review and model implementation
• Completed model verification using Brownian bridges in two-dimensional scenarios
• Comprehensive involvement in literature review, data construction, code development, model architecture design, and training
• Regular discussions with the advisor to review progress and strategize Recognized for strong programming skills and independent experiment implementation. Dean Li Xiaoming praised my logically clear research approach. Presentation Slides

Intern at XPENG Robotics focusing on autonomous driving and deep learning. Key responsibilities and achievements included:

• 3D Point Cloud Registration and Optimization using traditional and deep learning methods
• Development of an Open3D-based GUI tool for point cloud classification
• Stereo Depth Estimation and Semantic Segmentation data processing
• Contributed to Camera Calibration model overview Praised for developing concise, elegant code and exceeding expectations in team collaboration. Invited to continue the internship in the following summer.