Qing Xia （夏 清）

qing

I'm now an associate research fellow at the State Key Laboratory of Virtural Reality Technology and Systems, Beihang University. Before that, I was a senior research scientist/manager at SenseTime Research (Beijing, China) and led a R&D team developing cutting-edge products for medical use. I received my Ph.D. degree 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), then I did my post-doctoral research from 2019 to 2021 at the iMoon: Intelligent Media and Cognition Lab, Tsinghua University, working with Prof. Yue Gao (Tsinghua University). My major interests are in computer graphics, computer vision and machine learning, more specifically in digital geometry processing and medical image analysis.

News

[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

Conference

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]
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation.
Zhuowei Li, Qing Xia*, Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan and Dimitris Metaxas.
The 11th International Workshop on Machine Learning in Medical Imaging (MIML 2020). [PDF]
Automatic 3D Atrial Segmentation from GE-MRIs using Volumetric Fully Convolutional Networks.
Qing Xia*, Yuxin Yao, Zhiqiang Hu and Aimin Hao.
International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM @ MICCAI 2018).
Rank 1st in Atrial Segmentation Challenge. [PDF]
High-fidelity Compression of Dynamic Meshes with Fine Details using Piece-wise Manifold Harmonic Bases.
Chengju Chen, Qing Xia, Shuai Li*, Aimin Hao and Hong Qin.
Computer Graphics International (CGI 2018).
[PDF]
Kinetic simulation of cardiac motion with patient-specific coronary artery vessels attached for PCI simulator.
Zhijun Xie, Shuai Li*, Qing Xia and Aimin Hao.
International Conference on Virtual Reality and Visualization (ICVRV 2017).
Best Paper Award. [PDF]
A Novel Analysis-and-Simulation Approach for Detail Enhancement in FLIP Fluid Interaction.
Lipeng Yang, Shuai Li*, Qing Xia, Aimin Hao and Hong Qin.
The 21st ACM Symposium on Virtual Reality Software and Technology (VRST 2015). [PDF]

Journal

Multi-scale and Multi-level Shape Descriptor Learning via a Hybrid Fusion Network.
Xinwei Huang, Nannan Li, Qing Xia, Shuai Li, Aimin Hao and Hong Qin*.
Graphical Models, 2021.
[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]
Compressing Animated Meshes with Fine Details using Local Spectral Analysis and Deformation Transfer.
Chengju Chen, Qing Xia, Shuai Li*, Hong Qin and Aimin Hao.
The Visual Computer (TVC), 2020, 36(5): 1029-1042.
[PDF]
Efficient 4D Shape Completion from Sparse Samples via Cubic Spline Fitting in Linear Rotation-Invariant Space.
Qing Xia*, Chengju Chen, Jiarui Liu, Shuai Li, Aimin Hao and Hong Qin*.
Computer & Graphics (C&G), 2019, 82:129-139.
[PDF]
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]
Automatic Human Body Feature Extraction and Personal Size Measurement.
Xiaohui Tan, Xiaoyu Peng, Liwen Liu, and Qing Xia*.
Journal of Visual Languages and Computing (JVLC), 2018, 47: 9-18.
[PDF]
Automatic Extraction of Generic Focal Features on 3D Shapes via Random Forest Regression Analysis of Geodesics-in-Heat.
Qing Xia, Shuai Li*, Hong Qin and Aimin Hao.
Computer Aided Geometric Design (CAGD), 2016, 49: 31-43.
[PDF]