楷体
王金震
Regular script · LXGW WenKai
Preview on homepage →HPDi Lab · UNC Charlotte
Typography options
Compare the same academic content in six typeface options. Open a full-page preview to see each font in context.
Chinese name styles
Compare 王金震 in 楷体、行楷、草书. These previews do not change the saved design.
行楷
王金震
Running script · Zhi Mang Xing
Preview on homepage →草书
王金震
Grass script · Liu Jian Mao Cao
Preview on homepage →OptimaPreview full website →
Jinzhen Wang
High-performance computing & scientific data
I lead the High-Performance Data Intensive Lab at UNC Charlotte. My research focuses on data reduction, compression, and parallel and distributed systems.
DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
Current trial. Uses installed Optima, with Candara and locally hosted Source Sans 3 as fallbacks.
Source Sans 3Preview full website →
Jinzhen Wang
High-performance computing & scientific data
I lead the High-Performance Data Intensive Lab at UNC Charlotte. My research focuses on data reduction, compression, and parallel and distributed systems.
DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
Warm, readable, understated sans-serif alternative.
Jinzhen Wang
High-performance computing & scientific data
I lead the High-Performance Data Intensive Lab at UNC Charlotte. My research focuses on data reduction, compression, and parallel and distributed systems.
DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
Crisp and modern, with a clean sans-serif hierarchy.
IBM Plex SansPreview full website →
Jinzhen Wang
High-performance computing & scientific data
I lead the High-Performance Data Intensive Lab at UNC Charlotte. My research focuses on data reduction, compression, and parallel and distributed systems.
DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
A distinctive technical character, well suited to systems research.
Source Serif 4 + Source Sans 3Preview full website →
Jinzhen Wang
High-performance computing & scientific data
I lead the High-Performance Data Intensive Lab at UNC Charlotte. My research focuses on data reduction, compression, and parallel and distributed systems.
DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
Contemporary serif headings with readable sans-serif body text.
TeX Gyre Pagella / PalatinoPreview full website →
Jinzhen Wang
High-performance computing & scientific data
I lead the High-Performance Data Intensive Lab at UNC Charlotte. My research focuses on data reduction, compression, and parallel and distributed systems.
DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
Academic serif alternative. Locally hosted TeX Gyre Pagella for body and headings, with Palatino as fallback. Navigation uses Source Sans 3.