Small adjustments

data.yaml

@@ -1,6 +1,6 @@
 primaryPublications:
   - title: "UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation"
-    authors: "Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan"
+    authors: "<strong>Yan Lin</strong>, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan"
     tags:
       - "IEEE TKDE"
       - "2025"
@@ -263,7 +263,7 @@ services:
   - "IEEE, ACM member"
   - "Secretary of IEEE (Denmark Section) Computer Society"
   - "Reviewer for journals including TIST, TII, and TVT"
-  - "Member of program committees of ICLR, KDD, AAAI, CVPR, ICCV, IJCAI, and WWW"
+  - "Member of program committees of KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, and WWW"
 
 blogs:
   - title: "One Step Diffusion Models"

dist/blog/index.html

@@ -43,12 +43,16 @@
     <div class="list-group list-group-flush">
       
         <div class="list-group-item px-0">
-  <a class="mb-1 paper-title blog-link" href="/blog/html/one-step-diffusion-models.html">One Step Diffusion Models</a> | <span class="paper-title text-muted">May 2025</span>
+  <a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/one-step-diffusion-models.html">
+    One Step Diffusion Models <i class="bi bi-arrow-right-circle"></i>
+  </a> <span class="paper-title text-muted ms-2">May 2025</span>
   <p class="card-text mb-auto tldr">Despite the promising performance of diffusion models on continuous modality generation, one deficiency that is holding them back is their requirement for multi-step denoising processes, which can be computationally expensive. In this article, we examine recent works that aim to build diffusion models capable of performing sampling in one or a few steps.</p>
 </div> 
       
         <div class="list-group-item px-0">
-  <a class="mb-1 paper-title blog-link" href="/blog/html/multi-modal-transformer.html">Multi-modal and Multi-function Transformers</a> | <span class="paper-title text-muted">April 2025</span>
+  <a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/multi-modal-transformer.html">
+    Multi-modal and Multi-function Transformers <i class="bi bi-arrow-right-circle"></i>
+  </a> <span class="paper-title text-muted ms-2">April 2025</span>
   <p class="card-text mb-auto tldr">Multi-modal and multi-function Transformers enables a single architecture to process diverse data types such as language, images, and videos simultaneously. These models employ techniques like vector quantization and lookup-free quantization to map different modalities into a unified embedding space, allowing the Transformer to handle them within the same sequence. Beyond processing multiple data types, these architectures can also combine different functionalities-such as auto-regressive language generation and diffusion-based image creation-within a single model.</p>
 </div> 
       
@@ -60,7 +64,10 @@
   <footer>
     <div class="container">
         <p class="text-center text-secondary" style="font-size: 0.8rem; font-family: 'Lato', sans-serif;">
-            Copyright © 2025. Designed and implemented by Yan Lin.
+            <span class="dark-mode-text"><i class="bi bi-moon-fill"></i> ずっと真夜中でいいのに。</span>
+            <span class="light-mode-text"><i class="bi bi-sun-fill"></i> ずっと正午でいいのに。</span>
+            <span class="mx-1">|</span>
+            Designed and implemented by Yan Lin.
             <span class="mx-1">|</span>
             <a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
         </p>

dist/index.css

@@ -245,3 +245,21 @@ footer {
   width: 100%;
   flex-shrink: 0;
 }
+
+.dark-mode-text {
+  display: none;
+}
+
+.light-mode-text {
+  display: inline;
+}
+
+@media (prefers-color-scheme: dark) {
+  .dark-mode-text {
+    display: inline;
+  }
+  
+  .light-mode-text {
+    display: none;
+  }
+}

dist/index.html

@@ -97,7 +97,7 @@
     </div>
   </div>
   <h5 class="mb-1 paper-title">UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation</h5>
-  <p class="card-text mb-auto author-name">Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan</p>
+  <p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan</p>
 </div> 
           
         
@@ -680,7 +680,7 @@
         
           <li>Reviewer for journals including TIST, TII, and TVT</li>
         
-          <li>Member of program committees of ICLR, KDD, AAAI, CVPR, ICCV, IJCAI, and WWW</li>
+          <li>Member of program committees of KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, and WWW</li>
         
       </ul>
     </div>
@@ -694,12 +694,16 @@
     <div class="list-group list-group-flush" id="blog-list">
       
         <div class="list-group-item px-0">
-  <a class="mb-1 paper-title blog-link" href="/blog/html/one-step-diffusion-models.html">One Step Diffusion Models</a> | <span class="paper-title text-muted">May 2025</span>
+  <a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/one-step-diffusion-models.html">
+    One Step Diffusion Models <i class="bi bi-arrow-right-circle"></i>
+  </a> <span class="paper-title text-muted ms-2">May 2025</span>
   <p class="card-text mb-auto tldr">Despite the promising performance of diffusion models on continuous modality generation, one deficiency that is holding them back is their requirement for multi-step denoising processes, which can be computationally expensive. In this article, we examine recent works that aim to build diffusion models capable of performing sampling in one or a few steps.</p>
 </div> 
       
         <div class="list-group-item px-0">
-  <a class="mb-1 paper-title blog-link" href="/blog/html/multi-modal-transformer.html">Multi-modal and Multi-function Transformers</a> | <span class="paper-title text-muted">April 2025</span>
+  <a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/multi-modal-transformer.html">
+    Multi-modal and Multi-function Transformers <i class="bi bi-arrow-right-circle"></i>
+  </a> <span class="paper-title text-muted ms-2">April 2025</span>
   <p class="card-text mb-auto tldr">Multi-modal and multi-function Transformers enables a single architecture to process diverse data types such as language, images, and videos simultaneously. These models employ techniques like vector quantization and lookup-free quantization to map different modalities into a unified embedding space, allowing the Transformer to handle them within the same sequence. Beyond processing multiple data types, these architectures can also combine different functionalities-such as auto-regressive language generation and diffusion-based image creation-within a single model.</p>
 </div> 
       
@@ -711,7 +715,10 @@
   <footer>
     <div class="container">
         <p class="text-center text-secondary" style="font-size: 0.8rem; font-family: 'Lato', sans-serif;">
-            Copyright © 2025. Designed and implemented by Yan Lin.
+            <span class="dark-mode-text"><i class="bi bi-moon-fill"></i> ずっと真夜中でいいのに。</span>
+            <span class="light-mode-text"><i class="bi bi-sun-fill"></i> ずっと正午でいいのに。</span>
+            <span class="mx-1">|</span>
+            Designed and implemented by Yan Lin.
             <span class="mx-1">|</span>
             <a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
         </p>

dist/presentations/index.html

@@ -122,7 +122,10 @@
   <footer>
     <div class="container">
         <p class="text-center text-secondary" style="font-size: 0.8rem; font-family: 'Lato', sans-serif;">
-            Copyright © 2025. Designed and implemented by Yan Lin.
+            <span class="dark-mode-text"><i class="bi bi-moon-fill"></i> ずっと真夜中でいいのに。</span>
+            <span class="light-mode-text"><i class="bi bi-sun-fill"></i> ずっと正午でいいのに。</span>
+            <span class="mx-1">|</span>
+            Designed and implemented by Yan Lin.
             <span class="mx-1">|</span>
             <a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
         </p>

dist/projects/index.html

@@ -173,7 +173,10 @@
   <footer>
     <div class="container">
         <p class="text-center text-secondary" style="font-size: 0.8rem; font-family: 'Lato', sans-serif;">
-            Copyright © 2025. Designed and implemented by Yan Lin.
+            <span class="dark-mode-text"><i class="bi bi-moon-fill"></i> ずっと真夜中でいいのに。</span>
+            <span class="light-mode-text"><i class="bi bi-sun-fill"></i> ずっと正午でいいのに。</span>
+            <span class="mx-1">|</span>
+            Designed and implemented by Yan Lin.
             <span class="mx-1">|</span>
             <a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
         </p>

dist/publications/index.html

@@ -77,7 +77,7 @@
     </div>
   </div>
   <h5 class="mb-1 paper-title">UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation</h5>
-  <p class="card-text mb-auto author-name">Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan</p>
+  <p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan</p>
 </div> 
         
       
@@ -459,7 +459,10 @@
   <footer>
     <div class="container">
         <p class="text-center text-secondary" style="font-size: 0.8rem; font-family: 'Lato', sans-serif;">
-            Copyright © 2025. Designed and implemented by Yan Lin.
+            <span class="dark-mode-text"><i class="bi bi-moon-fill"></i> ずっと真夜中でいいのに。</span>
+            <span class="light-mode-text"><i class="bi bi-sun-fill"></i> ずっと正午でいいのに。</span>
+            <span class="mx-1">|</span>
+            Designed and implemented by Yan Lin.
             <span class="mx-1">|</span>
             <a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
         </p>

shell.nix

@@ -1,4 +1,4 @@
-{ pkgs ? import <nixpkgs> {}, isDev ? true, restartRemote ? false, remoteHost ? "hetzner" }:
+{ pkgs ? import <nixpkgs> {}, isDev ? true, restartRemote ? false }:
 
 pkgs.mkShell {
   packages = with pkgs; [
@@ -9,6 +9,7 @@ pkgs.mkShell {
 
   shellHook = let
     venvPath = "$HOME/venv/homepage";
+    remoteHost = "hetzner";
   in ''
     export PIP_REQUIRE_VIRTUALENV=1
     export VENV_PATH=${venvPath}
@@ -19,19 +20,20 @@ pkgs.mkShell {
     source $VENV_PATH/bin/activate
     pip install -r requirements.txt
 
-    ${if isDev then ''
-      pip install watchdog
-      python watch.py
-    '' else ''
-      python parser/md.py
-      python generate.py
+    python parser/md.py
+    python generate.py
     
+    ${if isDev then ''
+      pip install watchdog==6.0.0
+      python watch.py && exit
+    '' else ''
       rsync -avP --delete ./dist/ ${remoteHost}:/root/homepage/dist
       rsync -avP ./docker-compose.yml ${remoteHost}:/root/homepage/
 
       ${if restartRemote then ''
         ssh ${remoteHost} "cd /root/homepage && docker compose down && docker compose up -d"
       '' else ""}
+      exit
     ''}
   '';
 }

templates/base.html

@@ -49,7 +49,10 @@
   <footer>
     <div class="container">
         <p class="text-center text-secondary" style="font-size: 0.8rem; font-family: 'Lato', sans-serif;">
-            Copyright © 2025. Designed and implemented by Yan Lin.
+            <span class="dark-mode-text"><i class="bi bi-moon-fill"></i> ずっと真夜中でいいのに。</span>
+            <span class="light-mode-text"><i class="bi bi-sun-fill"></i> ずっと正午でいいのに。</span>
+            <span class="mx-1">|</span>
+            Designed and implemented by Yan Lin.
             <span class="mx-1">|</span>
             <a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
         </p>

templates/partials/blog.html

@@ -1,4 +1,6 @@
 <div class="list-group-item px-0">
-  <a class="mb-1 paper-title blog-link" href="/blog/html/{{ blog.path }}.html">{{ blog.title }}</a> | <span class="paper-title text-muted">{{ blog.badge }}</span>
+  <a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/{{ blog.path }}.html">
+    {{ blog.title }} <i class="bi bi-arrow-right-circle"></i>
+  </a> <span class="paper-title text-muted ms-2">{{ blog.badge }}</span>
   <p class="card-text mb-auto tldr">{{ blog.tldr }}</p>
 </div> 

watch.py

@@ -8,14 +8,18 @@ class ChangeHandler(FileSystemEventHandler):
     def on_modified(self, event):
         if event.is_directory:
             return
-        if any(event.src_path.endswith(ext) for ext in ['.md', '.py', '.html', '.css', '.js']):
+        if event.src_path.endswith('.html') and '/dist/' in event.src_path:
+            return
+        if any(event.src_path.endswith(ext) for ext in ['.md', '.py', '.html', '.css', '.js', '.yaml']):
             print(f"File {event.src_path} has been modified")
             self.regenerate()
     
     def on_created(self, event):
         if event.is_directory:
             return
-        if any(event.src_path.endswith(ext) for ext in ['.md', '.py', '.html', '.css', '.js']):
+        if event.src_path.endswith('.html') and '/dist/' in event.src_path:
+            return
+        if any(event.src_path.endswith(ext) for ext in ['.md', '.py', '.html', '.css', '.js', '.yaml']):
             print(f"File {event.src_path} has been created")
             self.regenerate()
     
@@ -28,8 +32,7 @@ class ChangeHandler(FileSystemEventHandler):
 if __name__ == "__main__":
     event_handler = ChangeHandler()
     observer = Observer()
-    # Watch both current directory and dist directory
-    observer.schedule(event_handler, "templates", recursive=True)
+    observer.schedule(event_handler, ".", recursive=True)
     observer.start()
     
     http_server = subprocess.Popen(["python", "-m", "http.server", "8000", "--directory", "dist"])