CV

Education

Ph.D. in Structures, Mechanics & Construction Engineering, University of Waterloo, Sep 2024 – Present
- Advisor: Prof. Chul Min Yeum
- Research: 3D Gaussian Splatting for scene reconstruction and understanding
M.Eng. in Electronic and Information Engineering (Artificial Intelligence), University of Chinese Academy of Sciences, 2021 – 2024
- Advisor: Prof. Jianwei Guo
- Thesis: High-quality automatic texture reconstruction and intelligent generation for 3D digital content production
B.S. in Computer Science, Yancheng Institute of Technology, 2011 – 2015

Sep 2024 – Present: Graduate Research Assistant, CVISS Lab, University of Waterloo
- Learnable deformable kernels for 2D Gaussian Splatting (NeurIPS 2026)
- Floater removal for 3D Gaussian Splatting with attention-based transformers
- Interactive oriented bounding box extraction from 3D Gaussian Splatting
Sep 2021 – Jun 2024: Graduate Research Assistant, Institute of Automation, Chinese Academy of Sciences
- Texture reconstruction and diffusion-based texture generation for 3D assets
- Neural rendering pipelines for 3D scene reconstruction (PyTorch, CUDA)

Nov 2023 – Aug 2024: Research Intern, AI Lab, Well-Link Times
- Applied diffusion models to generate high-quality texture maps for 3D models, improving LPIPS and PSNR
- Designed interactive tools addressing spatial consistency in 3D modeling workflows
- Reduced game asset creation time from days to minutes through automated generation
- Built an LLM-based prompt enhancement system for text-to-image generation
Apr 2015 – Jul 2021: Algorithm Engineer, Tingyun
- Built LSTM-based time-series forecasting of monthly active users for capacity planning
- Designed an entropy-based URL aggregation algorithm, reducing storage requirements by 95%
- Developed real-time anomaly detection for high-dimensional application performance metrics

Dec 2023: The development and future of large models, invited talk, China University of Political Science and Law
Jan 2024: Popular science on large models, invited talk, Youth Science and Technology Innovation Salon, UCAS

Programming & tools: Python, C++, JavaScript, Java, PyTorch, CUDA, Blender, Git, Docker, Linux
Research areas: 3D computer vision, neural rendering, Gaussian Splatting, point cloud processing, 3D generative models