SUBMARINE-1257. Show submarine's paper in Submarine github repo and website

### What is this PR for?
<!-- A few sentences describing the overall goals of the pull request's commits.
First time? Check out the contributing guide - https://submarine.apache.org/contribution/contributions.html
-->
Show [submarine's paper](https://dl.acm.org/doi/abs/10.1145/3517207.3526984) in Submarine GitHub repo and website
### What type of PR is it?
Improvement

### Todos

### What is the Jira issue?
<!-- * Open an issue on Jira https://issues.apache.org/jira/browse/SUBMARINE/
* Put link here, and add [SUBMARINE-*Jira number*] in PR title, eg. `SUBMARINE-23. PR title`
-->
https://issues.apache.org/jira/browse/SUBMARINE-1257
### How should this be tested?
<!--
* First time? Setup Travis CI as described on https://submarine.apache.org/contribution/contributions.html#continuous-integration
* Strongly recommended: add automated unit tests for any new or changed behavior
* Outline any manual steps to test the PR here.
-->
No need.
### Screenshots (if appropriate)
![Screenshot from 2022-04-19 14-39-40](https://user-images.githubusercontent.com/57944334/163941662-5f131668-e71c-4647-8157-c30b9851b3c2.png)

### Questions:
* Do the license files need updating? No
* Are there breaking changes for older versions? No
* Does this need new documentation? No

Author: featherchen <[email protected]>

Signed-off-by: Kevin <[email protected]>

Closes #938 from featherchen/SUBMARINE-1257 and squashes the following commits:

525c8a3 [featherchen] Add README
5f8ea6c [featherchen] SUBMARINE-1257. Show submarine's paper in Submarine github repo and website
b840749 [featherchen] SUBMARINE-1257

Author: featherchen

Diff for: README.md

@@ -163,6 +163,10 @@ See [Developer Guide Home Page](https://submarine.apache.org/docs/devDocs/Develo
 
 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 for: website/docs/community/Resources.md

@@ -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 for: website/sidebars.js

@@ -67,6 +67,7 @@ module.exports = {
                 "community/contributing",
                 "community/HowToVoteCommitterOrPMC",
                 "community/HowToBecomeCommitter",
+                "community/Resources",
             ],
             "Design Docs": [
                 "designDocs/architecture-and-requirements",