Welcome to HKUST VisNexus, a research project of visualization group, VisLab, at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology.

With the burgeoning development of information technologies, numerous data of different categories have become accessible to us. Analyzing the relations among data entities provides new opportunities to reveal the hidden information in data and better understand our world. Visualization techniques enable people to leverage the power of human cognition to analyze the relations among objects and data entities in real world scenarios. However, it is still challenging to develop efficient and effective visualization methods in large and complex data.

We dedicate to exploring diverse topics that help to address the needs in understanding complex relations among various data entities with novel and insightful visualization and analysis techniques. In a series of projects, we studied various important aspects including graph readability, dynamic network, heterogenous network, and multi-dimensional data.

Current members:


VisNexus is a series of visualization projects aiming to improve our understanding of the complex relations among data entities, which is conducted by the VisLab at Hong Kong University of Science and Technology. The HKUST VisLab is a multidisciplinary group aiming at improving the visual analysis and various visualizations.


The projects are categorized into following five topics:

  • Graph Readability
  • Dynamic Network
  • Heterogenous Network
  • Multi-dimensional Data


Yanhong Wu: yanhong.wu@ust.hk

Yong Wang: ywangct@ust.hk

Qiaomu Shen: shenqiaomu@ust.hk

Address: Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong