Qing Xia （夏 清）

qing

I am currently an associate research fellow at the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University. Prior to this, I served as a senior research manager at SenseTime Research, where I led an R&D team in developing cutting-edge medical products. I received my Ph.D. in 2018 from the State Key Laboratory of Virtual Reality Technology and Systems at Beihang University, under the joint supervision of Prof. Aimin Hao (Beihang University) and Prof. Hong Qin (Stony Brook University). From 2019 to 2021, I pursued postdoctoral research at the iMoon: Intelligent Media and Cognition Lab, Tsinghua University, working with Prof. Yue Gao. My research focuses on computer graphics, computer vision, and machine learning, with a particular emphasis on digital geometry processing and medical image analysis.

We are looking for self-motivated students with solid CV/CG/Med background, feel free to drop your CV to xiaqing[AT]buaa[DOT]edu[DOT]cn.

News

[2025-05-20] Our work "ECGFM" about foundation model for ECG analysis was published on Information Fusion.
[2025-05-13] I joined School of Computer Science and Engineering, Beihang University as an associate research fellow.
[2024-12-12] Our work "Slice2Mesh" about 3D reconstruction of left ventricle was published on IEEE TMI.
[2024-10-09] One paper on salient object detection with active learning was published on IEEE TPAMI.
[2024-07-30] One paper on coronary segmentation and vectorization was published on IEEE TMI.
[2023-11-30] One paper on genome-wide association analysis of left ventricle was published on Nature Communications.
[2023-10-14] Our work "ADVNet" about coronary segmentation with topological consistency was published on MedIA.
[2022-06-29] One paper on contrastive learning for medical image segmentation was published on IEEE TMI.
[2021-09-30] I finished my postdoc at the iMoon-Lab, Tsinghua University. Nice trip with Prof. Yue Gao!
[2021-01-20] One paper on few-shot learning for Whole Heart Segmentation was published on IEEE TMI.
[2020-07-22] I was selected for the 2020 Beijing Science and Technology Rising Star Program (150 under 35).
[2018-12-11] I joined SenseTime Research (Beijing, China) as a full-time ML/CV research scientist.
[2018-09-16] We won the First Place Award among all 27 competitors in Atrial Segmentation Challenge @ MICCAI 2018.

Featured Publications

Slice2Mesh: 3D Surface Reconstruction From Sparse Slices of Images for the Left Ventricle.
Jia Xiao, Wen Zheng, Wenji Wang, Qing Xia*, Zhennan Yan, Qian Guo, Xiao Wang*, Shaoping Nie*, Shaoting Zhang.
IEEE Transactions on Medical Imaging (TMI), 2025, 44(3): 1541-1555. [PDF]
AVDNet: joint coronary artery and vein segmentation with topological consistency.
Wenji Wang, Qing Xia*, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris Metaxas, Shaoting Zhang
Medical Image Analysis, 2024, 91: 102999. [PDF]
Few-shot Learning by a Cascaded Framework with Shape-constrained Pseudo Label Assessment for Whole Heart Segmentation.
Wenji Wang, Qing Xia*, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris Metaxas and Shaoting Zhang
IEEE Transactions on Medical Imaging (TMI), 2021, 40(10): 2629-2641. [PDF]
A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction.
Zhuowei Li, Qing Xia*, Zhiqiang Hu, Wenji Wang, Lijian Xu and Shaoting Zhang.
The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). [PDF][code]
Quantitative and Flexible 3D Shape Dataset Augmentation via Latent Space Embedding and Deformation Learning.
Jiarui Liu, Qing Xia, Shuai Li, Aimin Hao and Hong Qin*. (Joint first co-author)
Computer Aided Geometric Design (CAGD), 2019, 71:63-76. [PDF]