๐Ÿ‘ฉ๐Ÿผโ€๐Ÿซ Teach academic courses
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๐Ÿ‘ฉ๐Ÿผโ€๐Ÿซ Teach academic courses

Oct 24, 2023ยท
Dr. Shuai Zhang
Dr. Shuai Zhang
ยท 3 min read
Embed rich media such as videos and LaTeX math
blog

HugoBlox Kit is designed to give technical content creators a seamless experience. You can focus on the content and the HugoBlox Kit which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Citation

Here’s an example of citing a publication using the cite shortcode:

You can also use the default view by omitting the view parameter:

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube D2vj0WcvH5c >}}

Bilibili:

{{< bilibili BV1WV4y1r7DF >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="๐Ÿ‘‰ Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

๐Ÿ‘‰ Click to view the solution
You found me ๐ŸŽ‰

Math

HugoBlox Kit supports a Markdown extension for $\LaTeX$ math. Enable math by setting the math: true option in your page’s front matter, or enable math for your entire site by toggling math in your config/_default/params.yaml file:

features:
  math:
    enable: true

To render inline or block math, wrap your LaTeX math with $...$ or $$...$$, respectively.

Example math block:

$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math $\nabla F(\mathbf{x}_{n})$ renders as $\nabla F(\mathbf{x}_{n})$.

Example multi-line math using the math linebreak (\\):

$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

HugoBlox Kit utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

python Python

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Dr. Shuai Zhang
Authors
PhD Student

I am currently a Ph.D. candidate at the Ai4City-Lab, Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), under the supervision of Prof. Wufan Zhao and Prof. Yuan Liu. Prior to this, I obtained my Master’s degree from the School of Geospatial Engineering and Science, Sun Yat-sen University, where I was advised by Prof. Wuming Zhang and Prof. Yiping Chen.

My research focuses on 3D visual perception, intelligent interpretation and processing of point cloud data, and multi-modal urban foundation models. I am particularly interested in bridging geometric understanding with semantic reasoning in large-scale urban environments, with an emphasis on open-vocabulary learning, training-free paradigms, and cross-modal fusion between 2D and 3D data.

My goal is to develop scalable, interpretable, and generalizable AI systems for urban analysis, enabling applications such as digital twin construction, urban scene understanding, and intelligent infrastructure management.