cv
Basics
| Name | Jianchao Wang |
| Label | Master Student |
| jcwang[DOT]goog[AT]gmail[DOT]com | |
| Url | https://jcwang-gh.github.io/ |
| Summary | I'm currently a master student of NUAA, and I'm applying for Ph.D. |
Education
Awards
- 2025.10
Best Paper Honorable Mention
The 24th International Conference on Cyberworlds Committee
My paper 'Low-Frequency First: Eliminating Floating Artifacts in 3D Gaussian Splatting' recieved the best paper honorable Mention in CW2025.
- 2023.09
First-Class Academic Scholarship
Nanjing University of Aeronautics and Astronautics Graduate School
First-Class Academic Scholarship for Master's Degree Students.
Certificates
| CET-6:583 | ||
| 2020-09 |
Publications
-
2025.08.11 Low-Frequency First: Eliminating Floating Artifacts in 3D Gaussian Splatting
24th International Conference on Cyberworlds
We propose Eliminating-Floating-Artifacts Gaussian Splatting (EFA-GS), which selectively expands under-optimized Gaussians to prioritize accurate low-frequency learning.
Skills
| Programming | |
| C++ | |
| Python | |
| Linux | |
| Git | |
| ... |
| Traditional Machine Learning | |
| Logistic Regression | |
| Naive Bayes | |
| Support Vector Machine | |
| Hidden Markov Model | |
| ... |
Languages
| Chinese | |
| Native speaker |
| English | |
| Fluent |
Interests
| Spatial Intelligence | |
| 3D Gaussian Splatting | |
| Neural Radiance Field | |
| VGGT | |
| Feed-Forward Optimization | |
| Physics 3D | |
| CAD Generation |
| AI-Generated Content | |
| Diffusion Models | |
| Flow Matching | |
| Stable Diffusion | |
| Score-based Models | |
| Score Distillation Sampling |
Projects
- 2023.01 - 2023.03
Unofficial Implementation of Classifier-free Diffusion Guidance
A simple unofficial implementation of classifier-free diffusion guidance.
- Diffusion Models
- Classifier-free Diffusion Guidance