Biography

I am currently a Ph.D. candidate (expected Nov 2026) in the Galaxy Cluster Group at the Shanghai Astronomical Observatory, supervised by Prof. Shiyin Shen. With a foundation in probability theory and mathematical statistics, my research focuses on AI for Science (AI4S), combining low-level computer vision with astrophysics to learn robust representations from raw astronomical images and support downstream scientific tasks. My broader research interests include 3D vision (NeRF and Gaussian Splatting), SLAM, generative AI, and GPU acceleration. I aim to keep expanding my expertise and contribute to technological advances in a dynamic R&D environment.

Selected Publications [Full paper] (^Co-first author; *Corresponding author)

 

Plate-YOLO: An End-to-End Object Detection Framework for Robust Astrometric Registration of Historical Plates

Quanfeng Xu, Zhengjun Shang, Shiyin Shen*, Yong Yu*, Mingyang Ma, Zhenghong Tang, et al.
The Astronomical Journal (AJ), 2026.
[Paper] [Project] [Code]

 

FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution

Shuhong Liu^, Xining Ge^, Quanfeng Xu^, Ziteng Cui, Liuzhuozheng Li, Gengjia Chang, Jun Liu, et al.
Neural Information Processing Systems (NeurIPS), 2026.
[Paper] [Project] [Code]

 

Enhancing astrometric registration of Chinese historical Astronomical Digital Plates with deep learning

Quanfeng Xu, Zhengjun Shang, Shiyin Shen*, Yong Yu*, Meiting Yang*, Hao Luo, et al.
Research in Astronomy and Astrophysics (RAA), 2026. Cover Article Vol. 26 No. 9 .
[Paper] [Project] [Code] [Report]

 

From images to features: unbiased morphology classification via variational auto-encoders and domain adaptation

Quanfeng Xu, Shiyin Shen*, Rafael S. de Souza*, Mi Chen, Renhao Ye, Yumei She, Zhu Chen, et al.
Monthly Notices of the Royal Astronomical Society (MNRAS), 2023.
[Paper] [Code]

 

Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging

Shuhong Liu, Xining Ge, Ziying Gu, Quanfeng Xu, Lin Gu, Ziteng Cui, Xuangeng Chu, Jun Liu, Dong Li, Tatsuya Harada
European Conference on Computer Vision (ECCV), 2026.
[Paper] [Code]

 

DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments

Shuhong Liu, Xiang Chen, Hongming Chen, Quanfeng Xu, Mingrui Li*
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Project] [Code]

 

Galmoss: A package for GPU-accelerated galaxy profile fitting

Mi Chen, Rafael S. de Souza*, Quanfeng Xu, Shiyin Shen*, Ana L. Chies-Santos, Renhao Ye, et al.
Astronomy and Computing (A&C), 2024.
[Paper] [Code]

 

qrpca: A package for fast principal component analysis with GPU acceleration

Rafael S. de Souza^*, Quanfeng Xu^, Shiyin Shen, Chen Peng, Zihao Mu
Astronomy and Computing (A&C), 2022.
[Paper] [Code]

Projects

 

南极天目计划原型机数据查询与下载

Need connect to the Shanghai Astronomical Observatory VPN , 2024.
构建了南极天目计划的数据查询下载网页的前端和后端。
[Website] [Code]

 

大场景变电站三维高斯重建

Work in 北京高比科技公司
技术顾问 , 2026.
白清寨变电站数据保密,数据已脱敏处理。大场景中多视角航拍图 → 3DGS的重建流程,重点解决大场景下的尺度漂移与显存瓶颈。

 

电网系统接入本地人工智能大语言模型

Work in 北京高比科技公司
技术顾问 , 2026.
构建电网系统Agent,采用Qwen3.8 27B模型本地部署并且调用电网计算工具MCP进行推理。(适配:NVIDIA H20和国产芯片华为昇腾910C)。

Honors and Awards

2023.09-Present (Shanghai Astronomical Observatory):

  • The First Prize Scholarship Award (2023, 2024, 2025)
  • Merit Student Award (2024)

Teaching & Outreach

Competition Awards