推文规范
This is the first release.
推文规范
这篇文章主要讲解推文的规范,主要说明如下:
- 所有推文均用markdown编写,其语法简单,使用方便。具体语法可参见:https://markdown.com.cn/basic-syntax/。
- 本地撰写是推荐使用Typora,这是一个markdown语言的多平台编辑器,可以实时渲染结果,其网站如下:https://typora.io/。
- 所有推文表头必须包含以下信息:题目,链接题目(与题目相同即可,较长可用缩写),日期,作者(邮箱),简要描述,文章标签。
title: "The First Release"
linkTitle: "The First Release"
date: 2023-02-10
author: Chao Wang (xiaofengxd@126.com)
description: >
这是关于表头撰写的一个例子。
Tags: ["ML-AL", "ML-ML", "ML-KA", "ML-GL", "ML-GM", "ML-AL"]
- 文章标签主要按照内容分为四大类,每个大类下面包含多个小类,具体见如下表格。
大类 | 小类 | 标签形式 |
---|---|---|
Network Sciences | Hypergraphs | NS-HG |
Network Sciences | Causal Inference | NS-CI |
Network Sciences | Community Detection | NS-CD |
Network Sciences | Network Robustness | NS-NB |
Network Sciences | Influence Maximization | NS-IM |
Network Sciences | Network Reconstruction | NS-NR |
Machine Learning | Auto Learning | ML-AL |
Machine Learning | Meta Learning | ML-ML |
Machine Learning | Kinetic Analysis | ML-KA |
Machine Learning | Graph Learning | ML-GL |
Machine Learning | Generative Model | ML-GM |
Machine Learning | Adversarial Learning | ML-AD |
Optimization | Numerical Optmization | OP-NO |
Optimization | Expensive Optimization | OP-EO |
Optimization | Large-Scale Optimization | OP-LO |
Optimization | Combinatorial Optimization | OP-CO |
Optimization | Multi-objective Optimization | OP-MO |
Optimization | Multi-task/Transfer Optimization | OP-TO |
Applications | Scheduling | AP-SC |
Applications | Cyber security | AP-CS |
Applications | Time Series Analysis | AP-TS |
Applications | Black-box Applications | AP-BB |
Applications | Placement and Routing | AP-PR |
Applications | Bioinformatics and Life Sciences | AP-BL |
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推文内容和格式不限,可自由发挥,只要与科研相关即可。
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提交规范:md文件以及图片等元文件统一放在一个文件夹中即可,文件夹命名为你的推文题目。
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为大家提供了一个模板,可参照【论文分享】用于社交网络中影响力最大化的多转换进化框架。