World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10635
World Ranking
4359
National Ranking
581

Overview

Ligang Liu is affiliated with the University of Science and Technology of China in China. Their research spans multiple disciplines, with a primary focus on engineering and computer science. This work encompasses a substantial body of publications emphasizing computational mechanics, computer vision and pattern recognition, as well as computer graphics and computer-aided design.

The scientist's prominent subfields of study include:

  • Computational Mechanics
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Mechanical Engineering
  • Aerospace Engineering

Their research covers several main topics, reflecting the breadth and depth of their academic contributions:

  • 3D Shape Modeling and Analysis
  • Advanced Numerical Analysis Techniques
  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • Computational Geometry and Mesh Generation
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization

Ligang Liu has published extensively in notable venues, with frequent contributions to:

  • ACM Transactions on Graphics
  • arXiv (Cornell University)
  • Computer Graphics Forum
  • IEEE Transactions on Visualization and Computer Graphics
  • Computers & Graphics

Their collaborative work involves several frequent co-authors, indicating ongoing research partnerships. Key collaborators include:

  • Xiao-Ming Fu
  • Qing Fang
  • Renjie Chen
  • Xiaoya Zhai
  • Chunyang Ye

Among recent publications, these papers illustrate their research scope:

  • "HeadNeRF: A Realtime NeRF-based Parametric Head Model," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation," 2021, Computer-Aided Design
  • "The Impact of the Wellness Tourism Experience on Tourist Well-Being: The Mediating Role of Tourist Satisfaction," 2023, Sustainability
  • "Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Efficient bijective parameterizations," 2020, ACM Transactions on Graphics

In addition to articles, Ligang Liu has contributed to book publications, including the recent title:

  • Addictive behaviors among youth and adolescents in the digital age, published in 2024 by Frontiers Media

Best Publications

  • Scanning 3D Full Human Bodies Using Kinects

    Jing Tong;Jin Zhou;Ligang Liu;Zhigeng Pan

  • A local/global approach to mesh parameterization

    Ligang Liu;Lei Zhang;Yin Xu;Craig Gotsman

  • Synthesis of bidirectional texture functions on arbitrary surfaces

    Xin Tong;Jingdan Zhang;Ligang Liu;Xi Wang

  • Optimizing Photo Composition

    Ligang Liu;Renjie Chen;Lior Wolf;Daniel Cohen-Or

  • Cost-effective printing of 3D objects with skin-frame structures

    Weiming Wang;Tuanfeng Y. Wang;Zhouwang Yang;Ligang Liu

  • HeadNeRF: A Realtime NeRF-based Parametric Head Model

    Unknown

  • Data-driven interior plan generation for residential buildings

    Wenming Wu;Xiao-Ming Fu;Rui Tang;Yuhan Wang

  • Parametric reshaping of human bodies in images

    Shizhe Zhou;Hongbo Fu;Ligang Liu;Daniel Cohen-Or

  • Guided Mesh Normal Filtering

    Wangyu Zhang;Bailin Deng;Bailin Deng;Juyong Zhang;Sofien Bouaziz

  • Co-Segmentation of 3D Shapes via Subspace Clustering

    Ruizhen Hu;Lubin Fan;Ligang Liu

  • FPConv: Learning Local Flattening for Point Convolution

    Yiqun Lin;Zizheng Yan;Haibin Huang;Dong Du

  • Easy Mesh Cutting

    Zhongping Ji;Ligang Liu;Zhonggui Chen;Guojin Wang

  • Semantic decomposition and reconstruction of residential scenes from LiDAR data

    Hui Lin;Jizhou Gao;Yu Zhou;Guiliang Lu

  • 3D Face Reconstruction With Geometry Details From a Single Image

    Luo Jiang;Juyong Zhang;Bailin Deng;Hao Li

  • Symmetry Hierarchy of Man‐Made Objects

    Yanzhen Wang;Yanzhen Wang;Kai Xu;Kai Xu;Jun Li;Hao Zhang

  • BCNet: Learning Body and Cloth Shape from A Single Image

    Boyi Jiang;Juyong Zhang;Yang Hong;Jinhao Luo

  • Partial intrinsic reflectional symmetry of 3D shapes

    Kai Xu;Hao Zhang;Andrea Tagliasacchi;Ligang Liu

  • Dual Laplacian editing for meshes

    O.K.-C. Au;C.L. Tai;L. Liu;H. Fu

  • Printing 3D objects with interlocking parts

    Peng Song;Zhongqi Fu;Ligang Liu;Chi-Wing Fu

  • Photo-inspired model-driven 3D object modeling

    Kai Xu;Hanlin Zheng;Hao Zhang;Daniel Cohen-Or

  • Decoupling noise and features via weighted ℓ1-analysis compressed sensing

    Ruimin Wang;Zhouwang Yang;Ligang Liu;Jiansong Deng

  • Saliency-Preserving Slicing Optimization for Effective 3D Printing

    Weiming Wang;Haiyuan Chao;Jing Tong;Zhouwang Yang

Frequent Co-Authors

Kai Xu
Kai Xu National University of Defense Technology
Xiaoguang Han
Xiaoguang Han Chinese University of Hong Kong
Craig Gotsman
Craig Gotsman New Jersey Institute of Technology
Hao Zhang
Hao Zhang Simon Fraser University
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Baining Guo
Baining Guo Microsoft (United States)
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Hongbo Fu
Hongbo Fu City University of Hong Kong
Xin Tong
Xin Tong Microsoft Research Asia (China)

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