Biography

Xiaohan Liu is a first-year Ph.D. student in the Graduate School of Information Science and Technology, the University of Tokyo (UTokyo). She works at the Sugano Lab., advised by Prof. Yusuke Sugano.

Previously, she obtained her M.S. degree from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) in 2020, advised by Prof. Dong-Ming Yan. And she obtained her B.S. degree from Nanjing University of Aeronautics and Astronautics (NUAA) in 2017.

Her research interests include computer vision, computer graphics, and geometry processing.

Interests

  • Computer Vision
  • Computer Graphics
  • Geometry Processing

Education

  • Ph.D. in Information & Communication Engineering, 2021, 2023 - 2025 (Expected)

    Graduate School of Information Science and Technology, the University of Tokyo

  • M.S. in Computer Applied Technology, 2017 - 2020

    Institute of Automation, Chinese Academy of Sciences

  • B.S. in Software Engineering, 2013 - 2017

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics

Recent News

All news»

[2022/04/01] I took a leave of absence from university due to the spread of COVID-19.

[2022/03/08] My patent “三维裁剪Voronoi图的多线程并行计算方法、系统” (CN111080509B) was granted.

[2021/12/10] I joined Tencent AI Lab as a research intern.

[2021/09/27] I was accepted as JSPS Research Fellowships for Young Scientists DC2 (日本学術振興会特別研究員 DC2) from 2022.

[2021/04/01] I joined the Sugano Lab. at the University of Tokyo.

Recent Publications

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Parallel Computation of 3D Clipped Voronoi Diagrams

An efficient GPU implementation to compute clipped Voronoi diagrams in 3D volume.

Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing

Volumetric PolyCube-Map-based methods offer automatic ways to construct all-hexahedral meshes for closed 3D polyhedral domains, but …

Computing 3D Clipped Voronoi Diagrams on GPU

An efficient GPU implementation to compute clipped Voronoi diagrams in 3D volume.

Isotropic Surface Remeshing without Large and Small Angles

A novel algorithm for isotropic surface remeshing which progressively eliminates obtuse triangles and improves small angles.

Differences and Similarities between Dominant and Non-dominant Thumbs for Pointing and Gesturing Tasks with Bimanual Tablet Gripping Interaction

Pointing and gesturing with the dominant thumb (DT) and the non-dominant thumb (NT) are two common tasks for bimanual tablet gripping …

Experience

 
 
 
 
 

Research Intern

Tencent AI Lab

Dec 2021 – Dec 2022 Shenzhen, Guangdong, China
 
 
 
 
 

Research Intern - MSRA Internet Graphics Group

Microsoft Research Asia

Sep 2018 – Jan 2019 Beijing, China
 
 
 
 
 

Visiting Student

Hokkaido University

Jul 2018 – Aug 2018 Sapporo, Hokkaido, Japan

Accomplish­ments

Research Fellowships for Young Scientists DC2 (特別研究員 DC2)

(Declined the offer) MEXT Scholarship with Embassy Recommendation

National Scholarship for Graduate Students

Merit Student

Outstanding Graduate Scholarship

Suzhou Industrial Park Scholarship

Outstanding Student Scholarship

Merit Student