ninwang.jpg

Ningna Wang

Hello, 你好, Bonjour, こんにちは, 안녕하세요!

My name is Ningna Wang (/niŋ-na/ /wɔŋ/, 王宁娜 in Chinese). I am a Ph.D. candidate in Computer Graphics Lab at the University of Texas at Dallas. Under the supervision of Prof. Xiaohu Guo, my research focuses on geometric modeling. My current research direction is medial axis computation and its application. I would love to explore new representations and new algorithms to make processing geometric data more easily and efficiently.

Prior to UTD, I worked as a Senior Software Developer at Booking.com, Amsterdam, Netherlands, where I was responsible for the development of hotel availability distributed search system that handles thousands of requests per second.

Latest News

[Mar/2024] One paper conditionally accepted to SIGGRAPH 2024.
[Feb/2024] I am serving as a reviewer for SIGGRAPH 2024.
[Jan/2024] I am serving as a reviewer for International Conference on Geometric Modeling and Processing (GMP 2024) and Graphical Models 2024.
[Oct/2023] I’m visiting VCC lab as Research Intern in Shenzhen University under the supervision of Prof. Hui Huang.
[Jul/2023] One paper accepted to ACM Multimedia 2023 (29.3% acceptance rate).
[Jul/2023] Our paper “Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-number Field” wins the SIGGRAPH 2023 Technical Papers Best Paper Award!!! :trophy:
[Jun/2023] I am serving as a reviewer for Pacific Graphics IPC.
[Mar/2023] One paper conditionally accepted to SIGGRAPH 2023. :sparkles: :smile:
[Dec/2022] I will be presenting “Computing Medial Axis Transform with Feature Preservation via Restricted Power Diagram” at the SIGGRAPH Asia 2022.
[Nov/2022] I am serving as a reviewer for IEEE Transactions on Visualization and Computer Graphics.

Research

  1. Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field
    Rui Xu, Zhiyang Dou, Ningna Wang, Shiqing Xin, Shuangmin Chen, Mingyan Jiang, Xiaohu Guo, Wenping Wang, and Changhe Tu
    ACM Transactions on Graphics (SIGGRAPH) 2023
    [SIGGRAPH 2023 Technical Papers Best Paper Award] (See More Here)
    Website Code Video
  2. S3DS: Self-supervised Learning of 3D Skeletons from Single View Images
    Jianwei Hu, Ningna Wang, Baorong Yang, Gang Chen, Xiaohu Guo, and Bin Wang
    ACM International Conference on Multimedia (MM 2023) 2023
    PDF
  3. Point2MM: Learning medial mesh from point clouds
    Mengyuan Ge, Junfeng Yao, Baorong Yang, Ningna Wang, Zhonggui Chen, and Xiaohu Guo
    Computers & Graphics (Proceedings of CAD/Graphics 2023) 2023
    PDF
  4. Computing Medial Axis Transform with Feature Preservation via Restricted Power Diagram
    Ningna Wang, Bin Wang, Wenping Wang, and Xiaohu Guo
    ACM Transactions on Graphics (SIGGRAPH Asia) 2022
    [Journal Track]
    Website arXiv Code Video
  5. IMMAT: Mesh Reconstruction from Single View Images by Medial Axis Transform Prediction
    Jianwei Hu, Gang Chen, Baorong Yang, Ningna Wang, Xiaohu Guo, and Bin Wang
    Computer-Aided Design (Proceedings of SPM) 2022
    PDF
  6. A method of realistic leaves modeling based on point cloud
    Yinghui Wang, Wen Hao, Gang Wang, Xiaojuan Ning, Jing Tang, Zhenghao Shi, Ningna Wang, and Minghua Zhao
    In Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry 2013
    PDF

Teaching

UTD CS6323 Computer Animation and Gaming

@2022Fall

UTD CS6366 Computer Graphics

@2021Spring

UTD CS6334 Virtual Reality

@2020Spring

UTD CS4347 Database Systems

@2021Spring, 2022Fall

UTD CS4332 Introduction to Programming Video Games

@2019Fall