diff --git a/content/en/docs/_index.md b/content/en/docs/_index.md
index b9346122..4e8f28fc 100644
--- a/content/en/docs/_index.md
+++ b/content/en/docs/_index.md
@@ -15,7 +15,7 @@ type = "docs"  # Do not modify.
 +++
 
 ## What is Volcano
-Volcano is a cloud native system for high-performance workloads, which has been accepted by [Cloud Native Computing Foundation (CNCF)](https://www.cncf.io/) as its first and only official container batch scheduling project. Volcano supports popular computing frameworks such as [Spark](https://spark.apache.org/), [TensorFlow](https://tensorflow.google.en/), [PyTorch](https://pytorch.org/), [Flink](https://flink.apache.org/), [Argo](https://argoproj.github.io/), [MindSpore](https://www.mindspore.cn/en), and [PaddlePaddle](https://www.paddlepaddle.org.cn/). Volcano also supports scheduling of computing resources on different architecture, such as x86, Arm, and Kunpeng.
+Volcano is a cloud native system for high-performance workloads, which has been accepted by [Cloud Native Computing Foundation (CNCF)](https://www.cncf.io/) as its first and only official container batch scheduling project. Volcano supports popular computing frameworks such as [Spark](https://spark.apache.org/), [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [Flink](https://flink.apache.org/), [Argo](https://argoproj.github.io/), [MindSpore](https://www.mindspore.cn/en), and [PaddlePaddle](https://www.paddlepaddle.org.cn/). Volcano also supports scheduling of computing resources on different architecture, such as x86, Arm, and Kunpeng.
  
 ## Why Volcano
 Job scheduling and management become increasingly complex and critical for high-performance batch computing. Common requirements are as follows:
@@ -63,7 +63,7 @@ Compared with existing queue schedulers, Volcano shortens the average scheduling
 Volcano allows you to use mainstream computing frameworks:
 
 * [Spark](https://spark.apache.org/)
-* [TensorFlow](https://tensorflow.google.en/)
+* [TensorFlow](https://www.tensorflow.org/)
 * [PyTorch](https://pytorch.org/)
 * [Flink](https://flink.apache.org/)
 * [Argo](https://argoproj.github.io/)
@@ -73,7 +73,7 @@ Volcano allows you to use mainstream computing frameworks:
 * [Horovod](https://horovod.readthedocs.io/)
 * [MXNet](https://mxnet.apache.org/)
 * [Kubeflow](https://www.kubeflow.org/)
-* [KubeGene](https://kubegene.io/)
+* [KubeGene](https://github.com/volcano-sh/kubegene)
 * [Cromwell](https://cromwell.readthedocs.io/)
 
 Volcano has been commercially used as the infrastructure scheduling engine by companies and organizations.
\ No newline at end of file
diff --git a/content/en/docs/contribution.md b/content/en/docs/contribution.md
index a23c5247..9af6c09d 100644
--- a/content/en/docs/contribution.md
+++ b/content/en/docs/contribution.md
@@ -20,18 +20,18 @@ linktitle = "Volcano Contribution"
 
 Welcome to Volcano!
 
--   [Before You Start](#before-you-get-started)
+-   [Before You Start](#before-you-start)
     -   [Code of Conduct](#code-of-conduct)
     -   [Community discussions](#community-discussions)
     -   [Community Expectations](#community-expectations)
 -   [Getting Started](#getting-started)
 -   [Your First Contribution](#your-first-contribution)
     -   [Find Something to Work On](#find-something-to-work-on)
-        -   [Find a Good Topic](#find-a-good-first-topic)
+        -   [Find a Good Topic](#find-a-good-topic)
         -   [Work on an Issue](#work-on-an-issue)
         -   [File an Issue](#file-an-issue)
--   [Contribution Workflow](#contributor-workflow)
-    -   [Open a Pull Request](#creating-pull-requests)
+-   [Contribution Workflow](#contribution-workflow)
+    -   [Open a Pull Request](#open-a-pull-request)
 -   [Code Review](#code-review)
 -   [Commit Message Format](#commit-message-format)
     -   [Testing](#testing)
@@ -54,12 +54,12 @@ To better communicate with the developers in the Volcano community, please subsc
 Volcano is an open-source project driven by the Volcano community, which strives to promote a healthy, friendly, and productive environment.
 The community is committed to developing a system that helps running high-performance workloads, such as AI, ML, and deep learning applications, on Kubernetes. Building such a system would be impossible without the support of community contributors with similar aspirations.
 
-- For details about the community roles, see [Community Membership](https://github.com/volcano-sh/website/blob/master/content/en/docs/community-membership.md). If you make significant contributions, you will have a more advanced role in the community.
+- For details about the community roles, see [Community Membership](https://github.com/volcano-sh/website/blob/master/content/en/docs/membership.md). If you make significant contributions, you will have a more advanced role in the community.
 
 
 ## Getting Started
 
-- For more information on building and deployment, see [setup](https://github.com/volcano-sh/website/blob/master/content/en/docs/deployment.md).
+- For more information on building and deployment, see [setup](https://github.com/volcano-sh/website/blob/master/content/en/docs/installation.md).
 
 
 ## Your First Contribution
diff --git a/content/en/docs/flink_on_volcano.md b/content/en/docs/flink_on_volcano.md
index deb98e58..e24f6ebf 100644
--- a/content/en/docs/flink_on_volcano.md
+++ b/content/en/docs/flink_on_volcano.md
@@ -26,9 +26,9 @@ Apache Flink is an open-source streaming framework developed by the Apache Softw
 
 Make sure the deployed Kubernate, Kubectl, Volcano are installed correctly.
 
-### Deployment process[1]
+### Deployment process
 
-##### 1.Download
+##### 1. Download
 
 To run Flink, which requires a Java 8 or 11 environment, use the following instructions to determine the Java version.
 
@@ -43,7 +43,7 @@ $ wget https://www.apache.org/dyn/closer.lua/flink/flink-1.12.2/flink-1.12.2-src
 $ cd flink-1.12.2
 ```
 
-##### 2.Start a Cluster
+##### 2. Start a Cluster
 
 Running the script completes the deployment of Flink on the cluster.
 
@@ -51,7 +51,7 @@ Running the script completes the deployment of Flink on the cluster.
 $ ./bin/start-cluster.sh
 ```
 
-##### 3.Submit a job
+##### 3. Submit a job
 
 Submit the job using the following instructions.
 
@@ -60,9 +60,9 @@ $ ./bin/flink run examples/streaming/WordCount.jar
 $ tail log/flink-*-taskexecutor-*.out
 ```
 
-### Flink on Volcano[2]
+### Flink on Volcano
 
-##### 1.The deployment of the component
+##### 1. The deployment of the component
 
 Deploying a Flink Cluster requires creating two deploys, a Service, and a ConfigMap. The scheduling strategy is Volcano.The contents of `flink-configuration-configmap.yaml` are shown below.
 
@@ -269,7 +269,7 @@ kubectl get svc | grep flink
 kubectl get pod -owide | grep Flink
 ```
 
-##### 2.Outward publishing service[3]
+##### 2. Outward publishing service
 
 Once the Flink payload is created, you need to publish the service externally。
 
diff --git a/content/en/docs/referrals.md b/content/en/docs/referrals.md
index 587056d1..588b491f 100644
--- a/content/en/docs/referrals.md
+++ b/content/en/docs/referrals.md
@@ -1,5 +1,5 @@
 +++
-title =  "常见场景推介配置"
+title =  "Recommended Configurations for Common Scenarios"
 
 date = 2021-04-07
 lastmod = 2021-04-07
@@ -18,8 +18,6 @@ linktitle = "Scenario & Configuration"
 
 
 
-
-
 ### Background
 
 {{<figure library="1" src="ai1.png" title="AI development process">}}
diff --git a/content/en/docs/vcjob.md b/content/en/docs/vcjob.md
index 42508dda..eeff7a1b 100644
--- a/content/en/docs/vcjob.md
+++ b/content/en/docs/vcjob.md
@@ -307,18 +307,19 @@ spec:
 ### Supported Frameworks
 Volcano supports almost all mainstream computing frameworks including:
 
-1. TensorFlow
-2. PyTorch
-3. MindSpore
-4. PaddlePaddle
-5. Spark
-6. Flink
-7. Open MPI
-8. Horovod
-9. MXNet
-10. Kubeflow
-11. Argo
-12. KubeGene
+1. [Spark](https://spark.apache.org/)
+2. [TensorFlow](https://www.tensorflow.org/)
+3. [PyTorch](https://pytorch.org/)
+4. [Flink](https://flink.apache.org/)
+5. [Argo](https://argoproj.github.io/)
+6. [MindSpore](https://www.mindspore.cn/en)
+7. [PaddlePaddle](https://www.paddlepaddle.org.cn/)
+8. [Open MPI](https://www.open-mpi.org/)
+9. [Horovod](https://horovod.readthedocs.io/)
+10. [MXNet](https://mxnet.apache.org/)
+11. [Kubeflow](https://www.kubeflow.org/)
+12. [KubeGene](https://github.com/volcano-sh/kubegene)
+13. [Cromwell](https://cromwell.readthedocs.io/)
 
 ### volcano or default-scheduler
 Volcano has been enhanced in batch computing when compared with default-scheduler. It is ideal for high performance computing scenarios such as machine learning, big data applications, and scientific computing.
\ No newline at end of file
diff --git a/content/zh/docs/_index.md b/content/zh/docs/_index.md
index ef1f19a3..1b228425 100644
--- a/content/zh/docs/_index.md
+++ b/content/zh/docs/_index.md
@@ -80,7 +80,7 @@ Volcano已经支持几乎所有的主流计算框架：
 * [Horovod](https://horovod.readthedocs.io/)
 * [mxnet](https://mxnet.apache.org/)
 * [Kubeflow](https://www.kubeflow.org/)
-* [KubeGene](https://kubegene.io/)
+* [KubeGene](https://github.com/volcano-sh/kubegene)
 * [Cromwell](https://cromwell.readthedocs.io/)
 
 另外，Volcano已经被作为基础设施调度引擎被多个公司和组织采纳商用。
\ No newline at end of file
diff --git a/content/zh/docs/flink_on_volcano.md b/content/zh/docs/flink_on_volcano.md
index 0f32044b..09abbe37 100644
--- a/content/zh/docs/flink_on_volcano.md
+++ b/content/zh/docs/flink_on_volcano.md
@@ -26,9 +26,9 @@ Apache Flink是由Apache软件基金会开发的开源流处理框架，其核
 
 需要已经部署创建好CCE集群，集群下至少有一个可用节点，集群内节点已经绑定了弹性公网IP、kubectl命令行工具。
 
-### 部署流程[1]
+### 部署流程
 
-##### 1.Download
+##### 1. Download
 
 为了运行Flink，需要java8或11的环境，使用如下的指令确定java的版本。
 
@@ -43,7 +43,7 @@ $ wget https://www.apache.org/dyn/closer.lua/flink/flink-1.12.2/flink-1.12.2-src
 $ cd flink-1.12.2
 ```
 
-##### 2.Start a Cluster
+##### 2. Start a Cluster
 
 运行脚本完成flink在集群上的部署。
 
@@ -51,7 +51,7 @@ $ cd flink-1.12.2
 $ ./bin/start-cluster.sh
 ```
 
-##### 3.Submit a job
+##### 3. Submit a job
 
 随后可以使用如下的指令提交作业。
 
@@ -60,9 +60,9 @@ $ ./bin/flink run examples/streaming/WordCount.jar
 $ tail log/flink-*-taskexecutor-*.out
 ```
 
-### Flink on Volcano[2]
+### Flink on Volcano
 
-##### 1.部署组件
+##### 1. 部署组件
 
 Flink cluster的部署需要创建两个deploy、一个service和一个configmap。调度策略采用volcano。`flink-configuration-configmap.yaml`内容如下
 
@@ -269,7 +269,7 @@ kubectl get svc | grep flink
 kubectl get pod -owide | grep Flink
 ```
 
-##### 2.对外发布服务[3]
+##### 2. 对外发布服务
 
 创建好flink负载之后，需要像外部发布服务。
 
diff --git a/content/zh/docs/vcjob.md b/content/zh/docs/vcjob.md
index 8486b948..6fae800b 100644
--- a/content/zh/docs/vcjob.md
+++ b/content/zh/docs/vcjob.md
@@ -334,18 +334,19 @@ spec:
 
 Volcano对当前主流的计算框架均能很好的支持，具体如下：
 
-1. TensorFlow
-2. Pytorch
-3. MindSpore
-4. PaddlePaddle
-5. Spark
-6. Flink
-7. OpenMPI
-8. Horovod
-9. MXNet
-10. Kubeflow
-11. Argo
-12. KubeGene
+1. [Spark](https://spark.apache.org/)
+2. [TensorFlow](https://www.tensorflow.org/)
+3. [PyTorch](https://pytorch.org/)
+4. [Flink](https://flink.apache.org/)
+5. [Argo](https://argoproj.github.io/)
+6. [MindSpore](https://www.mindspore.cn/en)
+7. [PaddlePaddle](https://www.paddlepaddle.org.cn/)
+8. [Open MPI](https://www.open-mpi.org/)
+9. [Horovod](https://horovod.readthedocs.io/)
+10. [MXNet](https://mxnet.apache.org/)
+11. [Kubeflow](https://www.kubeflow.org/)
+12. [KubeGene](https://github.com/volcano-sh/kubegene)
+13. [Cromwell](https://cromwell.readthedocs.io/)
 
 #### volcano和default-scheduler的选择
 
diff --git a/doc/concepts/vcjob.md b/doc/concepts/vcjob.md
index 8c66a535..8b0e3e0e 100644
--- a/doc/concepts/vcjob.md
+++ b/doc/concepts/vcjob.md
@@ -268,18 +268,19 @@ spec:
 #### 说明事项
 * Volcano支持的计算框架
 Volcano对当前主流的计算框架均能很好的支持，具体如下：
-1. TensorFlow
-2. Pytorch
-3. MindSpore
-4. PaddlePaddle
-5. Spark
-6. Flink
-7. OpenMPI
-8. Horovod
-9. MXNet
-10. Kubeflow
-11. Argo
-12. KubeGene
+1. [Spark](https://spark.apache.org/)
+2. [TensorFlow](https://www.tensorflow.org/)
+3. [PyTorch](https://pytorch.org/)
+4. [Flink](https://flink.apache.org/)
+5. [Argo](https://argoproj.github.io/)
+6. [MindSpore](https://www.mindspore.cn/en)
+7. [PaddlePaddle](https://www.paddlepaddle.org.cn/)
+8. [Open MPI](https://www.open-mpi.org/)
+9. [Horovod](https://horovod.readthedocs.io/)
+10. [MXNet](https://mxnet.apache.org/)
+11. [Kubeflow](https://www.kubeflow.org/)
+12. [KubeGene](https://github.com/volcano-sh/kubegene)
+13. [Cromwell](https://cromwell.readthedocs.io/)
 ...
 * Volcano Job和Kubernetes Job的选择
 Volcano Job在批处理能力方面对Kubernetes Job进行了升级，更加适合机器学习、大数据、科学计算等场景，建议在高性能计算场景下选择Volcano Job；