diff --git a/README.md b/README.md
index 2e43e8a..5fc2050 100644
--- a/README.md
+++ b/README.md
@@ -32,14 +32,14 @@ AI systems by requiring less computation, fewer engineers, and less data,
 to facilitate the giant market of edge AI and AIoT.
 
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/figures/background1.png" width="100%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/figures/background1.png" width="100%" />
 </p>
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/figures/background2.png" width="100%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/figures/background2.png" width="100%" />
 </p>
 
 ## Demo
-[![Watch the video](https://hanlab.mit.edu/projects/tinyml/figures/mcunet_demo.png)](https://youtu.be/YvioBgtec4U)
+[![Watch the video](https://hanlab18.mit.edu/projects/tinyml/figures/mcunet_demo.png)](https://youtu.be/YvioBgtec4U)
 
 ## Related Projects
 
diff --git a/tinytl/README.md b/tinytl/README.md
index c1270f2..6206826 100644
--- a/tinytl/README.md
+++ b/tinytl/README.md
@@ -1,4 +1,4 @@
-# TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning [[website]](https://hanlab.mit.edu/projects/tinyml/tinyTL/)
+# TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning [[website]](https://hanlab18.mit.edu/projects/tinyml/tinyTL/)
 
 ```BibTex
 @inproceedings{
@@ -13,27 +13,27 @@
 
 ## On-Device Learning, not Just Inference
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/tinyTL/figures/on-device-learning.png" width="80%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/tinyTL/figures/on-device-learning.png" width="80%" />
 </p>
 
 ## Activation is the Main Bottleneck, not Parameters
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/tinyTL/figures/acitvation-is-the-bottleneck.png" width="70%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/tinyTL/figures/acitvation-is-the-bottleneck.png" width="70%" />
 </p>
 
 ## Tiny Transfer Learning
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/tinyTL/figures/tinyTL.png" width="70%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/tinyTL/figures/tinyTL.png" width="70%" />
 </p>
 
 ## Transfer Learning Results
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/tinyTL/figures/tinytl_results_8.png" width="80%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/tinyTL/figures/tinytl_results_8.png" width="80%" />
 </p>
 
 ## Combining with Batch Size 1 Training
 <p align="center">
-    <img src="https://hanlab.mit.edu/projects/tinyml/tinyTL/figures/tinytl_batch1.png" width="80%" />
+    <img src="https://hanlab18.mit.edu/projects/tinyml/tinyTL/figures/tinytl_batch1.png" width="80%" />
 </p>
 
 ## Data Preparation
diff --git a/tinytl/dataset_setup_scripts/make_aircraft.py b/tinytl/dataset_setup_scripts/make_aircraft.py
index 8e635c8..3a2274b 100644
--- a/tinytl/dataset_setup_scripts/make_aircraft.py
+++ b/tinytl/dataset_setup_scripts/make_aircraft.py
@@ -64,8 +64,8 @@ def main():
     shutil.rmtree(os.path.join(dataset_path, 'fgvc-aircraft-2013b'))
     os.remove(os.path.join(dataset_path, 'fgvc-aircraft-2013b.tar.gz'))
 
-    download_file('https://hanlab.mit.edu/tools/image_dataset_formats/aircraft/train.txt')
-    download_file('https://hanlab.mit.edu/tools/image_dataset_formats/aircraft/val.txt')
+    download_file('https://hanlab18.mit.edu/tools/image_dataset_formats/aircraft/train.txt')
+    download_file('https://hanlab18.mit.edu/tools/image_dataset_formats/aircraft/val.txt')
     
     test_data()
     train_data()
diff --git a/tinytl/dataset_setup_scripts/make_food.py b/tinytl/dataset_setup_scripts/make_food.py
index 57ec430..1f21c15 100644
--- a/tinytl/dataset_setup_scripts/make_food.py
+++ b/tinytl/dataset_setup_scripts/make_food.py
@@ -63,8 +63,8 @@ def main():
     shutil.rmtree(os.path.join(dataset_path, 'food-101'))
     os.remove(os.path.join(dataset_path, 'food-101.tar.gz'))
 
-    download_file('https://hanlab.mit.edu/tools/image_dataset_formats/food_101/train.txt')
-    download_file('https://hanlab.mit.edu/tools/image_dataset_formats/food_101/val.txt')
+    download_file('https://hanlab18.mit.edu/tools/image_dataset_formats/food_101/train.txt')
+    download_file('https://hanlab18.mit.edu/tools/image_dataset_formats/food_101/val.txt')
 
     test_data()
     train_data()
diff --git a/tinytl/tinytl_fgvc_train.py b/tinytl/tinytl_fgvc_train.py
index 8fec71c..769dd0a 100644
--- a/tinytl/tinytl_fgvc_train.py
+++ b/tinytl/tinytl_fgvc_train.py
@@ -135,7 +135,7 @@
 		# replace bn layers with gn layers
 		replace_bn_with_gn(net, gn_channel_per_group=8)
 		# load pretrained model
-		init_file = download_url('https://hanlab.mit.edu/projects/tinyml/tinyTL/files/'
+		init_file = download_url('https://hanlab18.mit.edu/projects/tinyml/tinyTL/files/'
 		                         'proxylessnas_mobile+lite_residual@imagenet@ws+gn', model_dir='~/.tinytl/')
 		net.load_state_dict(torch.load(init_file, map_location='cpu')['state_dict'])
 		net.classifier = LinearLayer(
@@ -147,7 +147,7 @@
 			net_config_path = os.path.join(args.net_path, 'net.config')
 			init_path = os.path.join(args.net_path, 'init')
 		else:
-			base_url = 'https://hanlab.mit.edu/projects/tinyml/tinyTL/files/specialized/%s/' % args.dataset
+			base_url = 'https://hanlab18.mit.edu/projects/tinyml/tinyTL/files/specialized/%s/' % args.dataset
 			net_config_path = download_url(base_url + 'net.config',
 			                               model_dir='~/.tinytl/specialized/%s' % args.dataset)
 			init_path = download_url(base_url + 'init', model_dir='~/.tinytl/specialized/%s' % args.dataset)