About Me

I am a second-year graduate student at Shanghai Jiao Tong University, School of Mechanical Engineering, specializing in 3D reconstruction and image generation models. Currently, I am working as an Image Generation Algorithm Intern at Zulution AI, where I focus on developing cutting-edge solutions for story-based image generation.

🎓 Education

• Shanghai Jiao Tong University (2023.9 - 2026.3)
  Master of Engineering | School of Mechanical Engineering
  Research Focus: Image Generative Models and 3D Flow Field Reconstruction

• Shanghai Jiao Tong University (2019.9 - 2023.9)
  Bachelor of Engineering | School of Mechanical Engineering

📝 Publications

• FlameGS: Reconstructing Flame Light Fields via Gaussian Splatting
  Yunhao Shui, Fuhao Zhang, Can Gao, Hao Xue, Zhiyin Ma, Gang Xuna, Xuesong Li
  International Conference on Signal Processing and Neural Network Applications (SPNNA), 2024

• Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
  Fu-Yun Wang, Yunhao Shui, Jingtan Piao, Keqiang Sun, Hongsheng Li
  International Conference on Learning Representations (ICLR), 2025

• ECNet: Effective Controllable Text-to-Image Diffusion Models
  Sicheng Li, Zhixin Lai, Keqiang Sun, Xiaoshi Wu, Yunhao Shui, Feng Qiu, Haoran Xie, Kazunori Miyata, Hongsheng Li
  Under Review, 2024

🎉 Open Source Projects

• RaCig: A RAG-based Character-Consistent Story Image Generation Model
• MoviiGen 1.1: Towards Cinematic-Quality Video Generative Models

💼 Internship Experience

• Zulution AI | AIGC Algorithm Engineer (2024.06 - 2025.05)

  • Developing advanced algorithms for story-based image generation, focusing on enhancing narrative coherence and visual quality in AI-generated content.

  • Developing video generation models with cinematic quality.

  • Earned SSP return offer through internship conversion

• ArcSoft | Computer Vision Algorithm Engineer (2023.12 - 2024.03)
  Researched and implemented preprocessing techniques for generative algorithms, improving output quality and computational efficiency.

• Deptrum | Computer Vision Algorithm Engineer (2022.06 - 2022.09)
  Developed and optimized 3D facial reconstruction algorithms, enhancing accuracy and real-time performance.

🏆 Awards and Honors

• National Graduate Mathematical Modeling Competition: National First Prize (Top 1%), Huawei Second Prize (2023)
• National College Student Mathematical Modeling Competition: National First Prize (2021)
• CODALAB Competition AutoCast: Ranked 5th globally (2023)
• SJTU University-level Scholarship (Class B): (2020)
• SJTU University-level Scholarship (Class C): (2021)
• Junzheng Scholar: (2021)

💻 Technical Skills

• Programming: Python, PyTorch, Deep Learning Frameworks
• Research Areas: Image Diffusion Models, Video Diffusion Models, 3D Gaussian Splatting, Neural Radiance Fields (NeRF)
• Tools & Technologies: Computer Vision Libraries, 3D Reconstruction Techniques, CUDA Programming

📧 Contact Information

• Email: xilanhua12138@sjtu.edu.cn
• Phone: +86 187-8017-0056
• Location: Shanghai, China