add chapter sorting mechanism

This commit is contained in:
Yan Lin 2026-02-04 16:08:31 +01:00
parent a1a8d694e2
commit 592da6cad6
7 changed files with 34 additions and 4 deletions

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@ -1,10 +1,11 @@
+++
title = "Deep Learning for Trajectory"
sort_by = "date"
sort_by = "none"
paginate_by = 10
[extra]
abbr = "DL4traj"
use_chapter_sort = true
+++
Deep learning approaches for analysis and utilization of spatiotemporal trajectories.

View file

@ -2,6 +2,9 @@
title = "End-to-end Learning of Trajectories"
date = 2026-02-02
description = ""
[extra]
chapter = "2"
+++
End-to-end learning means training a model to perform a task from input to output, supervising only on how the output aligns with the task's ground truth.

View file

@ -2,6 +2,9 @@
title = "Trajectory Generation"
date = 2026-02-04
description = ""
[extra]
chapter = "4"
+++
Trajectory generation, or trajectory synthesis, aims to generate trajectories that are not actually recorded in the available trajectory data, but are still realistic and follow a target distribution.

View file

@ -2,6 +2,9 @@
title = "Introduction to Deep Learning for Trajectories"
date = 2026-02-01
description = ""
[extra]
chapter = "1"
+++
A spatiotemporal trajectory is a sequence, with each item being a timestamped location. It records the movement of an object or a human through time and space.

View file

@ -2,6 +2,9 @@
title = "Self-supervised Learning of Trajectories"
date = 2026-02-03
description = ""
[extra]
chapter = "3"
+++
Self-supervised learning means training a model with unlabeled data, using supervisory signals extracted from the data itself. It usually does not set the model to perform a certain task, but aims to learn task-agnostic information in the data.

View file

@ -138,9 +138,16 @@ ul, ol {
gap: 1rem;
margin-bottom: 0.5rem;
time {
time, .chapter {
color: var(--muted);
font-size: 0.9rem;
}
.chapter {
min-width: 2rem;
}
time {
min-width: 6rem;
}
}

View file

@ -17,21 +17,31 @@
{% else %}
{% set pages = section.pages %}
{% endif %}
{% if section.extra.use_chapter_sort %}
{% set pages = pages | sort(attribute="extra.chapter") %}
{% for page in pages %}
<li>
<span class="chapter">{{ page.extra.chapter }}</span>
<a href="{{ page.permalink }}">{{ page.title }}</a>
</li>
{% endfor %}
{% else %}
{% for page in pages %}
<li>
<time datetime="{{ page.date }}">{{ page.date | date(format="%Y-%m-%d") }}</time>
<a href="{{ page.permalink }}">{{ page.title }}</a>
</li>
{% endfor %}
{% endif %}
</ul>
{% if paginator %}
<nav class="pagination">
{% if paginator.previous %}
<a href="{{ paginator.previous }}">&larr; Newer</a>
<a href="{{ paginator.previous }}">&larr; {% if section.extra.use_chapter_sort %}Previous{% else %}Newer{% endif %}</a>
{% endif %}
{% if paginator.next %}
<a href="{{ paginator.next }}">Older &rarr;</a>
<a href="{{ paginator.next }}">{% if section.extra.use_chapter_sort %}Next{% else %}Older{% endif %} &rarr;</a>
{% endif %}
</nav>
{% endif %}