diff --git a/.github/md-link-config.json b/.github/md-link-config.json
index e68593a030..34d874e98e 100644
--- a/.github/md-link-config.json
+++ b/.github/md-link-config.json
@@ -3,6 +3,12 @@
     {
       "pattern": "^https://developer.nvidia.com//"
     },
+    {
+      "pattern": "^https://developer.android.com/"
+    },
+    {
+      "pattern": "^https://developer.qualcomm.com/"
+    },
     {
       "pattern": "^http://localhost"
     }
diff --git a/docs/en/01-how-to-build/jetsons.md b/docs/en/01-how-to-build/jetsons.md
index 9786d04c97..185e7380ab 100644
--- a/docs/en/01-how-to-build/jetsons.md
+++ b/docs/en/01-how-to-build/jetsons.md
@@ -289,7 +289,7 @@ pip install -r requirements/build.txt
 pip install -v -e .  # or "python setup.py develop"
 ```
 
-1. Follow [this document](../02-how-to-run/convert_model.md) on how to convert model files.
+2. Follow [this document](docs/en/02-how-to-run/convert_model.md) on how to convert model files.
 
 For this example, we have used [retinanet_r18_fpn_1x_coco.py](https://github.com/open-mmlab/mmdetection/blob/3.x/configs/retinanet/retinanet_r18_fpn_1x_coco.py) as the model config, and [this file](https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r18_fpn_1x_coco/retinanet_r18_fpn_1x_coco_20220407_171055-614fd399.pth) as the corresponding checkpoint file. Also for deploy config, we have used [detection_tensorrt_dynamic-320x320-1344x1344.py](https://github.com/open-mmlab/mmdeploy/blob/master/configs/mmdet/detection/detection_tensorrt_dynamic-320x320-1344x1344.py)
 
diff --git a/docs/en/04-supported-codebases/mmedit.md b/docs/en/04-supported-codebases/mmedit.md
index 7abd08a2e7..c72a1d201e 100644
--- a/docs/en/04-supported-codebases/mmedit.md
+++ b/docs/en/04-supported-codebases/mmedit.md
@@ -188,8 +188,8 @@ Besides python API, mmdeploy SDK also provides other FFI (Foreign Function Inter
 | [SRCNN](https://github.com/open-mmlab/mmediting/tree/1.x/configs/srcnn)             | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
 | [ESRGAN](https://github.com/open-mmlab/mmediting/tree/1.x/configs/esrgan)           | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
 | [ESRGAN-PSNR](https://github.com/open-mmlab/mmediting/tree/1.x/configs/esrgan)      | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
-| [SRGAN](https://github.com/open-mmlab/mmediting/tree/1.x/configs/srresnet_srgan)    | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
-| [SRResNet](https://github.com/open-mmlab/mmediting/tree/1.x/configs/srresnet_srgan) | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
+| [SRGAN](https://github.com/open-mmlab/mmediting/tree/1.x/configs/srgan_resnet)      | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
+| [SRResNet](https://github.com/open-mmlab/mmediting/tree/1.x/configs/srgan_resnet)   | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
 | [Real-ESRGAN](https://github.com/open-mmlab/mmediting/tree/1.x/configs/real_esrgan) | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
 | [EDSR](https://github.com/open-mmlab/mmediting/tree/1.x/configs/edsr)               | super-resolution |      Y       |    Y     |  Y   |   N   |    Y     |
 | [RDN](https://github.com/open-mmlab/mmediting/tree/1.x/configs/rdn)                 | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |
diff --git a/docs/en/05-supported-backends/onnxruntime.md b/docs/en/05-supported-backends/onnxruntime.md
index 10b1714bd2..51a134bd04 100644
--- a/docs/en/05-supported-backends/onnxruntime.md
+++ b/docs/en/05-supported-backends/onnxruntime.md
@@ -63,4 +63,4 @@ Take custom operator `roi_align` for example.
 ## References
 
 - [How to export Pytorch model with custom op to ONNX and run it in ONNX Runtime](https://github.com/onnx/tutorials/blob/master/PyTorchCustomOperator/README.md)
-- [How to add a custom operator/kernel in ONNX Runtime](https://github.com/microsoft/onnxruntime/blob/master/docs/AddingCustomOp.md)
+- [How to add a custom operator/kernel in ONNX Runtime](https://onnxruntime.ai/docs/reference/operators/add-custom-op.html)
diff --git a/docs/zh_cn/05-supported-backends/onnxruntime.md b/docs/zh_cn/05-supported-backends/onnxruntime.md
index 2d109dcfe6..4b3a25e4d0 100644
--- a/docs/zh_cn/05-supported-backends/onnxruntime.md
+++ b/docs/zh_cn/05-supported-backends/onnxruntime.md
@@ -63,4 +63,4 @@ Take custom operator `roi_align` for example.
 ## References
 
 - [How to export Pytorch model with custom op to ONNX and run it in ONNX Runtime](https://github.com/onnx/tutorials/blob/master/PyTorchCustomOperator/README.md)
-- [How to add a custom operator/kernel in ONNX Runtime](https://github.com/microsoft/onnxruntime/blob/master/docs/AddingCustomOp.md)
+- [How to add a custom operator/kernel in ONNX Runtime](https://onnxruntime.ai/docs/reference/operators/add-custom-op.html)
diff --git a/docs/zh_cn/05-supported-backends/openvino.md b/docs/zh_cn/05-supported-backends/openvino.md
index 9eccc3cc44..dc4188fcb0 100644
--- a/docs/zh_cn/05-supported-backends/openvino.md
+++ b/docs/zh_cn/05-supported-backends/openvino.md
@@ -17,7 +17,7 @@ pip install openvino-dev
 
 3. Install MMDeploy following the [instructions](../01-how-to-build/build_from_source.md).
 
-To work with models from [MMDetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md), you may need to install it additionally.
+To work with models from [MMDetection](https://github.com/open-mmlab/mmdetection/blob/3.x/docs/en/get_started.md), you may need to install it additionally.
 
 ## Usage