Jianchao Wang

College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics.

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jcwang.goog@gmail.com

Nanjing, China

I am currently a Master’s student (2023–2026) at the College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics (NUAA), China, advised by Prof. Jie Qin. I received my B.Eng. in Software Engineering from NUAA in 2023.

🔍 Research Interests: 3D Gaussian Splatting, Neural Rendering, Diffusion Models, 3D Scene Reconstruction & Generation, and Efficient Optimization Methods.

🚀 Open to Opportunities: • Full-time Research Assistant positions (available from Apr 2026, 6+ months) • Collaborative projects on 3D vision/generation with publication potential • Pre-doc or visiting researcher roles leading to PhD applications

If you are working on related topics and looking for a motivated researcher with hands-on experience in PyTorch, multi-GPU training, and open-source development, please feel free to reach out: jcwang.goog@gmail.com.

👋 For RA Opportunities

I am seeking a full-time Research Assistant position starting April 2026 (6+ months) to:

Goal Details
🎯 Research Focus 3D Gaussian Splatting, VGGT, Diffusion-based Generation
💻 Technical Skills PyTorch • Multi-GPU Training • Linux • LaTeX • Open-source Dev
📈 Expected Outcome Complete ongoing projects → Submit to CVPR/ICCV/ECCV → Strong PhD application

If you are a PI/lab member working on 3D vision, generative models, or efficient rendering, and need a self-driven researcher who can hit the ground running, let’s talk!

📄 Download my CV (English)
💻 View my GitHub

news

Nov 24, 2025 I am honored with the Open Source Contribution Award!
Oct 16, 2025 Our paper has received CW2025 Best Paper Honorable Mention!
Aug 11, 2025 Our paper “Low-Frequency First: Eliminating Floating Artifacts in 3D Gaussian Splatting” is accepted by CW2025.

selected publications

  1. CW25_Preview.png
    Low-Frequency First: Eliminating Floating Artifacts in 3D Gaussian Splatting
    Jianchao Wang, Peng Zhou, Cen Li, Rong Quan, and Jie Qin
    In Proceedings of the 24th International Conference on Cyberworlds, 2025