Profile
Wanxiang Qin is currently a full-time faculty member at the School of Arts and Design, Yulin Normal University, focusing on the application of computer vision technologies in city, with in-depth research in urban generation, lighting optimization, and related fields.
Education
- M.E., Architecture, Inner Mongolia University of Technology, 2020—2023.
- B.E., Architecture, Guangxi University of Science and Technology, 2015—2020.
Research Interests
computer vision (CV) tasks such as object detection, digital twins, 3D reconstruction, drone path planning.
Publications
- WanXiang Qin, Ji Li, Peng Qu, Zhen Tian, Liang Tan (2025). PPA-Enhanced YOLOv10: Real-Time Detection of Small UAVs in Complex Environments. 2025 2nd International Conference on Autonomous Driving and Intelligent Sensing Technology (ADIST 2025).
- Wanxiang Qin, Yuxuan Liu, Yuan Sun, Research on traffic target detection optimization based on YOLOv11, 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE 2025).
- Qin Wanxiang (2023). Research on Multi Objective Optimization of High rise Residential Buildings in Severe Cold Regions Based on Energy Consumption and Solar Thermal Performance, Master's Thesis, Inner Mongolia University of Technology.
- Qin Wanxiang, He Long* & Qin Chaopeng (2022). Exploration of optimization method for lighting in primary and secondary school classrooms based on genetic algorithm - taking the light climate in Hohhot area as an example, Contemporary Architecture.
Work Experience
- Shenzhen Xkool Technology, 2021.06–2021.12. — Code and architecture construction of Python city generation; built a visual system for the digital architecture department using Python.
- Mitu Digital Technology, 2022.01–2022.07. — Wrote interactive functions and character controllers using UE Blueprints and Unity C#; authored shaders with UE material nodes and Unity Shader Graph.
- Shenzhen Qijing Forest Technology, 2022.07–2022.12. — Implemented data interaction between front-end JavaScript and UE in UE cloud rendering platform; automated import of user uploaded models in UE cloud rendering platform.
- Yulin Normal University School, 2023.06–PRESENT. — Full-time teacher.
3DGS 展示（ThreeJS · Gaussian Splatting）
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说明
该展示基于 ThreeJS 与 GaussianSplats3D 库，直接读取 `.ply/.splat/.ksplat` 文件进行高斯点渲染，并提供交互查看。 如需手动构造数据可参考 JSON 示例（非必须）：
{
"gaussians": [
{ "position": [x, y, z], "color": [r, g, b], "scale": s, "sigma": [sx, sy], "rot": r },
{ "position": [x, y, z], "color": [r, g, b], "scale": s }
]
}其中颜色范围为 0–1，尺度为粒子的基本大小；可选的 `sigma=[sx,sy]` 与 `rot`（弧度）用于各向异性椭圆与旋转。生产环境建议使用 `.ksplat` 以获得更佳加载与渲染表现。