diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -163,6 +163,10 @@
 
 What to know more about what's coming for Submarine? Please check the roadmap out: https://cwiki.apache.org/confluence/display/SUBMARINE/Roadmap
 
+## Resources
+
+[Apache submarine: a unified machine learning platform made simple](https://dl.acm.org/doi/abs/10.1145/3517207.3526984) at EuroMLSys '22
+
 ## License
 
 The Apache Submarine project is licensed under the Apache 2.0 License. See the [LICENSE](./LICENSE) file for details.
diff --git a/website/docs/community/Resources.md b/website/docs/community/Resources.md
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@@ -0,0 +1,28 @@
+---
+title: Resources
+---
+
+<!--
+   Licensed to the Apache Software Foundation (ASF) under one or more
+   contributor license agreements.  See the NOTICE file distributed with
+   this work for additional information regarding copyright ownership.
+   The ASF licenses this file to You under the Apache License, Version 2.0
+   (the "License"); you may not use this file except in compliance with
+   the License.  You may obtain a copy of the License at
+   http://www.apache.org/licenses/LICENSE-2.0
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+-->
+
+This document contains some resources that may help you understand more about Submarine.
+
+# Conferences
+
+- **[Apache submarine: a unified machine learning platform made simple](https://dl.acm.org/doi/abs/10.1145/3517207.3526984) at EuroMLSys '22**
+
+  - **ABSTRACT**
+
+    As machine learning is applied more widely, it is necessary to have a machine-learning platform for both infrastructure administrators and users including expert data scientists and citizen data scientists [24] to improve their productivity. However, existing machine-learning platforms are ill-equipped to address the "Machine Learning tech debts" [36] such as glue code, reproducibility, and portability. Furthermore, existing platforms only take expert data scientists into consideration, and thus they are inflexible for infrastructure administrators and non-user-friendly for citizen data scientists. We propose Submarine, a unified machine-learning platform, and takes all infrastructure administrators, expert data scientists, and citizen data scientists into consideration. Submarine has been widely used in many technology companies, including Ke.com and LinkedIn. We present two use cases in Section 5.
diff --git a/website/sidebars.js b/website/sidebars.js
index b1a38c8..a929c3d 100644
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@@ -67,6 +67,7 @@
                 "community/contributing",
                 "community/HowToVoteCommitterOrPMC",
                 "community/HowToBecomeCommitter",
+                "community/Resources",
             ],
             "Design Docs": [
                 "designDocs/architecture-and-requirements",