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    [{"authors":null,"categories":null,"content":"I am a master student of artificial intelligence at Institute of Automation, Chinese Academy of Sciences, supervised by Haifeng Zhang. My research interests include optimization, reinforcement learning and large language model.\nRecent News:\n[2024-03-30] I have been curating resources for system area like [Dissys] and [MLsys].\n[2023-10-19] I have been curating resources for CUDA programming [CUDA].\n[2023-10-15] I have been curating list of models for code generation [LLMs for Code].\n[2023-07-17] I have updated a curated list of resources for reinforcement learning [GitHub], please if it helps.\n","date":1711937400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711937400,"objectID":"2525497d367e79493fd32b198b28f040","permalink":"https://jiwenj.github.io/authors/admin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/admin/","section":"authors","summary":"I am a master student of artificial intelligence at Institute of Automation, Chinese Academy of Sciences, supervised by Haifeng Zhang. My research interests include optimization, reinforcement learning and large language model.","tags":null,"title":"Jiwen Jiang","type":"authors"},{"authors":[],"categories":null,"content":" Click on the Slides button above to view the built-in slides feature. Slides can be added in a few ways:\nCreate slides using Wowchemy’s Slides feature and link using slides parameter in the front matter of the talk file Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes. Further event details, including page elements such as image galleries, can be added to the body of this page.\n","date":1906549200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1906549200,"objectID":"0818b65146e6f3381cbc38dbe2392bf5","permalink":"https://jiwenj.github.io/unused/event/example/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/unused/event/example/","section":"unused","summary":"An example talk using Wowchemy's Markdown slides feature.","tags":[],"title":"Example Talk","type":"unused"},{"authors":["Jiwen Jiang"],"categories":["MoE"],"content":" ","date":1711937400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1711937400,"objectID":"0909ea89fbecf9c31e530114e6d5ff30","permalink":"https://jiwenj.github.io/blog/moe/","publishdate":"2024-04-01T09:10:00+07:00","relpermalink":"/blog/moe/","section":"blog","summary":"I curate some learning materials for CUDA Programming","tags":["MoE"],"title":"Mixture of Experts","type":"blog"},{"authors":["Jiwen Jiang"],"categories":["MLsys"],"content":"\rTable Books Courses Documentation Blogs Faculty Misc Books 机器学习系统：设计和实现 人工智能系统 深度学习论文精读 Courses CMU 15-849 Machine Learning System CS149 Parallel Computing Deep Learning System: Algorithm and Implementations TinyML, Harvard TinyML and Efficient Deep Learning Computing 15-884: Machine Learning Systems Machine Learning Compilation 15-442/15-642: Machine Learning Systems 15-418/15-618: Parallel Computer Architecture and Programming, Fall 2023 10-414/714: Deep Learning Systems Documentation Blogs Community Stanford MLSys Seminar TinyML Talks Schedule Faculty Song Han Tianqi Chen Jeff Dean Dan Alistarh Large Language Model Training Large Language Model Inference Comment: Reference ML system 入坑指南 ","date":1711861800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1711861800,"objectID":"2e13fde1e07898bc95c7466d8bf94818","permalink":"https://jiwenj.github.io/blog/mlsys/","publishdate":"2024-03-31T12:10:00+07:00","relpermalink":"/blog/mlsys/","section":"blog","summary":"I summarize some self-learning resources for machine learning systems. Please stay tuned!","tags":["MLsys"],"title":"Machine Learning Systems","type":"blog"},{"authors":["Jiwen Jiang"],"categories":["Dissys"],"content":" Table Books Courses Documentation Blogs Faculty Misc Books Courses MIT 6.824 NJU Dissys NJU Introduction to Distributed Algorithms UCSC, CSE232,CSE138 [Video,2021] Cam, Concurrent and Distributed Systems [Video,2021] Cam, Multicore Semantics and Programming Documentation Blogs Community Faculty Lindsey Kuper Tim Harris Misc Comment: Reference NJU Dissys Reference in GitHub mit-public-courses-cn-translation csdiy Intro 分布式计算系统 从零实现 KV 存储 ToniBlog Homework Reference 6.824 ","date":1711807800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1711894200,"objectID":"5efdfe487fc340b3b30c2986ecac8882","permalink":"https://jiwenj.github.io/blog/dissys/","publishdate":"2024-03-30T21:10:00+07:00","relpermalink":"/blog/dissys/","section":"blog","summary":"I summarize some self-learning resources for distributed systems.","tags":["Dissys"],"title":"Distributed Systems","type":"blog"},{"authors":["Jiwen Jiang"],"categories":["CUDA"],"content":" Table Books Courses Documentation Blogs Faculty Misc Books 《通用图形处理器设计》 《昇腾AI处理器架构与编程》 《GPU高性能编程CUDA实战》 《CUDA并行程序设计: GPU编程指南​》 《CUDA专家手册: GPU编程权威指南》 《大规模并行处理器编程实战（第2版）​》 《CUDA编程指南4.0中文版》 《CUDA C编程权威指南》 《GPU编程实战（基于Python和CUDA）》 《GPU编程与优化•大众高性能计算》 《CUDA 编程: 基础与实践》[PDF] 《AI 编译器开发指南》 Programming Massively Parallel Processors: A Hands-on Approach [Answer] CUDA by Example: An Introduction to General-Purpose GPU Programming CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs Nvidia CUDA Programming Guide ​CUDA Handbook: A Comprehensive Guide to GPU Programming The CUDA Handbook Professional CUDA C Programming footnote: Parts of the books can be found here.\nCourses udacity cs344: intro to parallel programming 龚敏敏老师在哔哩哔哩上的《上帝视角看GPU》 UIUC的课 Heterogeneous Parallel Programming CS179:GPU Programming Udacity的《入门并行编程：CUDA》课程 Documentation NVIDIA 官方文档 NVIDIA 官方编程文档 Blogs 高升博客 Community CUDA开发者社区 Faculty UC Davis John Owens，Billy Dally的学生 Misc OpenGL(ES) OpenCL Vulkan Taichi ROCm datasheet and white book Discussion of cutlass Comment: 综上所述，如果只想入门、想了解众核并行、想锻炼C++工程能力，随便找本不错的书读；要是想保持在前沿，看博客、看文章、直接关注做GPU的组，比读几百页书知识还停留在10年前强多了\nReference https://www.zhihu.com/question/26570985 https://www.quora.com/What-is-the-best-way-to-learn-CUDA ","date":1697724600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1697724600,"objectID":"5507271643228f0aedd56675f4cf2914","permalink":"https://jiwenj.github.io/blog/gpu/","publishdate":"2023-10-19T21:10:00+07:00","relpermalink":"/blog/gpu/","section":"blog","summary":"I curate some learning materials for CUDA Programming","tags":["CUDA"],"title":"CUDA Programming","type":"blog"},{"authors":["Jiwen Jiang"],"categories":["CodeLlama","Finetune","LLM"],"content":"Large Language Models for Code are flourishing. New and powerful models are released on a weekly basis, demonstrating remarkable performance on the code generation task. In this article, I curate some SOTA models and try to figure out their machanism. Here is the content of table:\nContents Datasets HumanEval Models CodeLlama Phind CodeGeex Codeium WizardCode phi-1 CodeFuse HumanEval This is an evaluation harness for the HumanEval problem solving dataset described in the paper “Evaluating Large Language Models Trained on Code”. It used to measure functional correctness for synthesizing programs from docstrings. It consists of 164 original programming problems, assessing language comprehension, algorithms, and simple mathematics, with some comparable to simple software interview questions. At the same time, you can find the latest models and advancements in PapersWithCode. An example: the white space is the prompt or input while the yellow space is the model-generated content CodeLlama Maybe you haven’t excperienced CodeLlama yet, the Huggingface official group has deployed a playground for everyone where you can Preliminarily evaluate it in your target task.\nAfter you have seen its performance on your task and gain much confidence in CodeLlama, you might want to give it a shot where you can delve deeper into the paper, even deploy and finetune it. The model weights are available in Huggingface. If you go through the paper, you might find a really distinct model named “unnatural CodeLlama” whose performance is nearly the same as GPT-4 under the code scenario.\nWhat is unnatural instruction In December 2022, Meta AI with Tel Aviv University published the paper named Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. The paper talks about how Meta created a large dataset of creative and diverse instructions and collected 64,000 examples by prompting a language model. This was then further prompted to create a total of 240,000 examples on inputs and outputs, which contained only a little amount of noise. Unnatural Instructions is a dataset of instructions automatically generated by a Large Language model.\nAn example of dataset:\n{ \u0026#39;instruction\u0026#39;: \u0026#39;You will be given a series of words. Output these words in reverse order, with each word on its own line.\u0026#39;, \u0026#39;instances\u0026#39;: [{ \u0026#39;instruction_with_input\u0026#39;: \u0026#34;You will be given a series of words. Output these words in reverse order, with each word on its own line.\\nWords: [\u0026#39;Hello\u0026#39;, \u0026#39;world\u0026#39;].\u0026#34;, \u0026#39;input\u0026#39;: \u0026#34;Words: [\u0026#39;Hello\u0026#39;, \u0026#39;world\u0026#39;].\u0026#34;, \u0026#39;constraints\u0026#39;: \u0026#39;None.\u0026#39;, \u0026#39;output\u0026#39;: \u0026#39;world\\nHello\u0026#39; }] } Codeium CodeGeeX2 CodeGeeX2 是多语言代码生成模型 CodeGeeX (KDD’23) 的第二代模型。不同于一代 CodeGeeX（完全在国产华为昇腾芯片平台训练） ，CodeGeeX2 是基于 ChatGLM2 架构加入代码预训练实现，得益于 ChatGLM2 的更优性能，CodeGeeX2 在多项指标上取得性能提升（+107% \u0026gt; CodeGeeX；仅60亿参数即超过150亿参数的 StarCoder-15B 近10%）\nWizardCode Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. In this paper, we introduce WizardCoder, which empowers Code LLMs with complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code. Through comprehensive experiments on four prominent code generation benchmarks, namely HumanEval, HumanEval+, MBPP, and DS-1000, we unveil the exceptional capabilities of our model. It surpasses all other open-source Code LLMs by a substantial margin. Moreover, our model even outperforms the largest closed LLMs, Anthropic’s Claude and Google’s Bard, on HumanEval and HumanEval+.\nphi-1 phi-1 is proposed by teams of Microsoft in the \u0026#34;Textbooks Are All You Need\u0026#34;. phi-1 is a Transformer-based model with 1.3B parameters, trained for 4 days on 8 A100s, using a selection of “textbook quality” data from the web (6B tokens) and synthetically generated textbooks and exercises with GPT-3.5 (1B tokens). Despite this small scale, phi-1 attains pass@1 accuracy 50.6% on HumanEval and 55.5% on MBPP. It also displays surprising emergent properties compared to phi-1-base, our model before our finetuning stage on a dataset of coding exercises, and phi-1-small, a smaller model with 350M parameters trained with the same pipeline as phi-1 that still achieves 45% on HumanEval. Phind Phind is an intelligent search engine and assistant for programmers. With Phind, you’ll get the answer you’re looking for in seconds instead of hours. It will guide you step-by-step from that idea in your head to a working app. Phind is smart enough to proactively ask you questions to clarify its assumptions and to browse the web (or your codebase) when it needs additional context. With their new VS Code extension, you can now get Phind’s help right in your editor.\nAugust 28th Update: They’ve trained a new model, Phind-CodeLlama-34B-v2, that achieves 73.8% pass@1 on HumanEval. See the blog.\nThey have released all models on Huggingface to bolster the open-source community.\nVscode Plugin with …","date":1697292600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1697292600,"objectID":"202b33df4b32c41aa6f167b7fa44ebf5","permalink":"https://jiwenj.github.io/blog/llm4code/","publishdate":"2023-10-14T21:10:00+07:00","relpermalink":"/blog/llm4code/","section":"blog","summary":"I have curated some recent LLMs for code generation task.","tags":["CodeLlama","Finetune","LLM"],"title":"LLMs for Code (Progressing)","type":"blog"},{"authors":["Jiwen Jiang"],"categories":["Tools","Utility"],"content":"\rWebsite development\nGoogle Fonts\nGoogle documentation guide\nGoogle Style Guides\nHTML特殊字符符号大全\nMDN\nAutoDL\n学术资源加速 Huggingface\nHugging Face Hub 模型下载方案\ngit clone下载\n国内模型下载\nmindspore Huggingface 镜像站 modelee 异型岛 书籍查找下载\nGitHub jiumodiary Z-Library Library Genesis 论文查找，期刊查询\nGoogle Scholar DBLP LetPub Web of Science 会伴 ResearchGate Sci-Hub Elsevier-ScienceDirect Aminer Academia.edu Microsoft Academic Semantic Scholar 博客、学术网站搭建\nblinkfox 魔法之书 文件转换\nPandoc 软件，AI服务\nai-lib.club mpyit Latex\nOnline Editor\nOverleaf Curriculum Vitae\ncanadacast-cv-example A latex cv/resume template 📄 适合中文的简历模板收集 Helpful Documentation\nLaTeX公式手册 lshort-zh-cn lnotes 刘海洋 LaTeX 工作室 Linux\nLinux命令搜索引擎 Windows\nwindows常用命令 Manim\nmanim中文入门教程 eulertour.com/studio 论文绘图\nPPT Draw.io Visio R Python 云服务器\nAutoDL AWS 代码，模型社区\nGitHub Huggingface ApacheCN 前沿消息\nTwitter Reddit Telegram Medium 信用卡\nvisa credit card Dupay OKX Math\nLibrary Genesis • scientific articles 中文数学 Wiki Swift\nA Swift Tour | Documentation ","date":1697292600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1697292600,"objectID":"8a3943386d7cb04dc20f039e800f0f98","permalink":"https://jiwenj.github.io/blog/utils/","publishdate":"2023-10-14T21:10:00+07:00","relpermalink":"/blog/utils/","section":"blog","summary":"I summarize some useful utilities for personal usage.","tags":["Tools","Utility"],"title":"Utility","type":"blog"},{"authors":[],"categories":["LLM","RL"],"content":"","date":1689588047,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1689588047,"objectID":"9f39ae9c9d4d2de34a1ac48d650efc92","permalink":"https://jiwenj.github.io/paperreview/1/","publishdate":"2023-07-17T18:00:47+08:00","relpermalink":"/paperreview/1/","section":"paperreview","summary":"","tags":["LLM","RL"],"title":"Supervised Pretraining Can Learn In-Context Reinforcement Learning","type":"paperreview"},{"authors":["Jiwen Jiang"],"categories":["LLM","Prompt"],"content":"Group Meeting PPT ","date":1685974200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1689516600,"objectID":"5e8b803a3fc72c7bb4e3baca1239faec","permalink":"https://jiwenj.github.io/blog/prompt-engineering/","publishdate":"2023-06-05T21:10:00+07:00","relpermalink":"/blog/prompt-engineering/","section":"blog","summary":"I summarize some prompt techniques that facilitate the utility of LLMs.","tags":["LLM","Prompt"],"title":"Prompt Engineering for LLMs","type":"blog"},{"authors":null,"categories":null,"content":"Wowchemy is designed to give technical content creators a seamless experience. You can focus on the content and Wowchemy handles the rest.\nHighlight your code snippets, take notes on math classes, and draw diagrams from textual representation.\nOn this page, you’ll find some examples of the types of technical content that can be rendered with Wowchemy.\nExamples Code Wowchemy supports a Markdown extension for highlighting code syntax. You can customize the styles under the syntax_highlighter option in your config/_default/params.yaml file.\n```python\rimport pandas as pd\rdata = pd.read_csv(\u0026#34;data.csv\u0026#34;)\rdata.head()\r```\rrenders as\nimport pandas as pd data = pd.read_csv(\u0026#34;data.csv\u0026#34;) data.head() Mindmaps Wowchemy supports a Markdown extension for mindmaps.\nSimply insert a Markdown markmap code block and optionally set the height of the mindmap as shown in the example below.\nA simple mindmap defined as a Markdown list:\n```markmap {height=\u0026#34;200px\u0026#34;}\r- Hugo Modules\r- wowchemy\r- wowchemy-plugins-netlify\r- wowchemy-plugins-netlify-cms\r- wowchemy-plugins-reveal\r```\rrenders as\n- Hugo Modules\r- wowchemy\r- wowchemy-plugins-netlify\r- wowchemy-plugins-netlify-cms\r- wowchemy-plugins-reveal A more advanced mindmap with formatting, code blocks, and math:\n```markmap\r- Mindmaps\r- Links\r- [Wowchemy Docs](https://wowchemy.com/docs/)\r- [Discord Community](https://discord.gg/z8wNYzb)\r- [GitHub](https://github.com/wowchemy/wowchemy-hugo-themes)\r- Features\r- Markdown formatting\r- **inline** ~~text~~ *styles*\r- multiline\rtext\r- `inline code`\r-\r```js\rconsole.log(\u0026#39;hello\u0026#39;);\rconsole.log(\u0026#39;code block\u0026#39;);\r```\r- Math: $x = {-b \\pm \\sqrt{b^2-4ac} \\over 2a}$\r```\rrenders as\n- Mindmaps\r- Links\r- [Wowchemy Docs](https://wowchemy.com/docs/)\r- [Discord Community](https://discord.gg/z8wNYzb)\r- [GitHub](https://github.com/wowchemy/wowchemy-hugo-themes)\r- Features\r- Markdown formatting\r- **inline** ~~text~~ *styles*\r- multiline\rtext\r- `inline code`\r-\r```js\rconsole.log(\u0026#39;hello\u0026#39;);\rconsole.log(\u0026#39;code block\u0026#39;);\r```\r- Math: $x = {-b \\pm \\sqrt{b^2-4ac} \\over 2a}$ Charts Wowchemy supports the popular Plotly format for interactive charts.\nSave your Plotly JSON in your page folder, for example line-chart.json, and then add the {{\u0026lt; chart data=\u0026#34;line-chart\u0026#34; \u0026gt;}} shortcode where you would like the chart to appear.\nDemo:\nYou might also find the Plotly JSON Editor useful.\nMath Wowchemy supports a Markdown extension for $\\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.\nTo render inline or block math, wrap your LaTeX math with {{\u0026lt; math \u0026gt;}}$...${{\u0026lt; /math \u0026gt;}} or {{\u0026lt; math \u0026gt;}}$$...$${{\u0026lt; /math \u0026gt;}}, respectively. (We wrap the LaTeX math in the Wowchemy math shortcode to prevent Hugo rendering our math as Markdown. The math shortcode is new in v5.5-dev.)\nExample math block:\n{{\u0026lt; math \u0026gt;}} $$ \\gamma_{n} = \\frac{ \\left | \\left (\\mathbf x_{n} - \\mathbf x_{n-1} \\right )^T \\left [\\nabla F (\\mathbf x_{n}) - \\nabla F (\\mathbf x_{n-1}) \\right ] \\right |}{\\left \\|\\nabla F(\\mathbf{x}_{n}) - \\nabla F(\\mathbf{x}_{n-1}) \\right \\|^2} $$ {{\u0026lt; /math \u0026gt;}} renders as\n$$\\gamma_{n} = \\frac{ \\left | \\left (\\mathbf x_{n} - \\mathbf x_{n-1} \\right )^T \\left [\\nabla F (\\mathbf x_{n}) - \\nabla F (\\mathbf x_{n-1}) \\right ] \\right |}{\\left \\|\\nabla F(\\mathbf{x}_{n}) - \\nabla F(\\mathbf{x}_{n-1}) \\right \\|^2}$$\rExample inline math {{\u0026lt; math \u0026gt;}}$\\nabla F(\\mathbf{x}_{n})${{\u0026lt; /math \u0026gt;}} renders as $\\nabla F(\\mathbf{x}_{n})$.\nExample multi-line math using the math linebreak (\\\\):\n{{\u0026lt; math \u0026gt;}} $$f(k;p_{0}^{*}) = \\begin{cases}p_{0}^{*} \u0026amp; \\text{if }k=1, \\\\ 1-p_{0}^{*} \u0026amp; \\text{if }k=0.\\end{cases}$$ {{\u0026lt; /math \u0026gt;}} renders as\n$$\rf(k;p_{0}^{*}) = \\begin{cases}p_{0}^{*} \u0026amp; \\text{if }k=1, \\\\\r1-p_{0}^{*} \u0026amp; \\text{if }k=0.\\end{cases}\r$$\rDiagrams Wowchemy supports a Markdown extension for diagrams. You can enable this feature by toggling the diagram option in your config/_default/params.toml file or by adding diagram: true to your page front matter.\nAn example flowchart:\n```mermaid\rgraph TD\rA[Hard] --\u0026gt;|Text| B(Round)\rB --\u0026gt; C{Decision}\rC --\u0026gt;|One| D[Result 1]\rC --\u0026gt;|Two| E[Result 2]\r```\rrenders as\ngraph TD\rA[Hard] --\u0026gt;|Text| B(Round)\rB --\u0026gt; C{Decision}\rC --\u0026gt;|One| D[Result 1]\rC --\u0026gt;|Two| E[Result 2] An example sequence diagram:\n```mermaid\rsequenceDiagram\rAlice-\u0026gt;\u0026gt;John: Hello John, how are you?\rloop Healthcheck\rJohn-\u0026gt;\u0026gt;John: Fight against hypochondria\rend\rNote right of John: Rational thoughts!\rJohn--\u0026gt;\u0026gt;Alice: Great!\rJohn-\u0026gt;\u0026gt;Bob: How about you?\rBob--\u0026gt;\u0026gt;John: Jolly good!\r```\rrenders as\nsequenceDiagram\rAlice-\u0026gt;\u0026gt;John: Hello John, how are you?\rloop Healthcheck\rJohn-\u0026gt;\u0026gt;John: Fight against hypochondria\rend\rNote right of John: Rational thoughts!\rJohn--\u0026gt;\u0026gt;Alice: Great!\rJohn-\u0026gt;\u0026gt;Bob: How about you?\rBob--\u0026gt;\u0026gt;John: Jolly good! An example Gantt diagram:\n```mermaid\rgantt\rsection Section\rCompleted :done, des1, 2014-01-06,2014-01-08\rActive :active, des2, 2014-01-07, 3d\rParallel 1 : des3, after des1, 1d\rParallel 2 : des4, after des1, 1d\rParallel 3 : des5, after des3, 1d\rParallel 4 : des6, after des4, 1d\r```\rrenders …","date":1562889600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1562889600,"objectID":"53edd0e55c282593ce511eae4ceca97a","permalink":"https://jiwenj.github.io/unused/paper/writing-technical-content/","publishdate":"2019-07-12T00:00:00Z","relpermalink":"/unused/paper/writing-technical-content/","section":"unused","summary":"Wowchemy is designed to give technical content creators a seamless experience. You can focus on the content and Wowchemy handles the rest.\nHighlight your code snippets, take notes on math classes, and draw diagrams from textual representation.","tags":null,"title":"Writing technical content in Markdown","type":"unused"},{"authors":["Jiwen Jiang"],"categories":null,"content":" Create your slides in Markdown - click the Slides button to check out the example. Supplementary notes can be added here, including code, math, and images.\n","date":1554595200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1554595200,"objectID":"c9ae352c2c9bd2eb91f07d682f40042a","permalink":"https://jiwenj.github.io/unused/publication/preprint/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/unused/publication/preprint/","section":"unused","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example preprint / working paper","type":"unused"},{"authors":["Jiwen Jiang"],"categories":[],"content":"from IPython.core.display import Image Image(\u0026#39;https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png\u0026#39;) print(\u0026#34;Welcome to Academic!\u0026#34;) Welcome to Academic!\rInstall Python and JupyterLab Install Anaconda which includes Python 3 and JupyterLab.\nAlternatively, install JupyterLab with pip3 install jupyterlab.\nCreate or upload a Jupyter notebook Run the following commands in your Terminal, substituting \u0026lt;MY-WEBSITE-FOLDER\u0026gt; and \u0026lt;SHORT-POST-TITLE\u0026gt; with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:\nmkdir -p \u0026lt;MY-WEBSITE-FOLDER\u0026gt;/content/post/\u0026lt;SHORT-POST-TITLE\u0026gt;/ cd \u0026lt;MY-WEBSITE-FOLDER\u0026gt;/content/post/\u0026lt;SHORT-POST-TITLE\u0026gt;/ jupyter lab index.ipynb The jupyter command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content.\nEdit your post metadata The first cell of your Jupter notebook will contain your post metadata (front matter).\nIn Jupter, choose Markdown as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter:\n--- title: My post\u0026#39;s title date: 2019-09-01 # Put any other Academic metadata here... --- Edit the metadata of your post, using the documentation as a guide to the available options.\nTo set a featured image, place an image named featured into your post’s folder.\nFor other tips, such as using math, see the guide on writing content with Academic.\nConvert notebook to Markdown jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=. Example This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter\n","date":1549324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1567641600,"objectID":"ef53bbd303bd40df4e519e2bf5dffd08","permalink":"https://jiwenj.github.io/unused/paper/jupyter/","publishdate":"2019-02-05T00:00:00Z","relpermalink":"/unused/paper/jupyter/","section":"unused","summary":"Learn how to blog in Academic using Jupyter notebooks","tags":[],"title":"Display Jupyter Notebooks with Academic","type":"unused"},{"authors":null,"categories":null,"content":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.\nNullam vel molestie justo. Curabitur vitae efficitur leo. In hac habitasse platea dictumst. Sed pulvinar mauris dui, eget varius purus congue ac. Nulla euismod, lorem vel elementum dapibus, nunc justo porta mi, sed tempus est est vel tellus. Nam et enim eleifend, laoreet sem sit amet, elementum sem. Morbi ut leo congue, maximus velit ut, finibus arcu. In et libero cursus, rutrum risus non, molestie leo. Nullam congue quam et volutpat malesuada. Sed risus tortor, pulvinar et dictum nec, sodales non mi. Phasellus lacinia commodo laoreet. Nam mollis, erat in feugiat consectetur, purus eros egestas tellus, in auctor urna odio at nibh. Mauris imperdiet nisi ac magna convallis, at rhoncus ligula cursus.\nCras aliquam rhoncus ipsum, in hendrerit nunc mattis vitae. Duis vitae efficitur metus, ac tempus leo. Cras nec fringilla lacus. Quisque sit amet risus at ipsum pharetra commodo. Sed aliquam mauris at consequat eleifend. Praesent porta, augue sed viverra bibendum, neque ante euismod ante, in vehicula justo lorem ac eros. Suspendisse augue libero, venenatis eget tincidunt ut, malesuada at lorem. Donec vitae bibendum arcu. Aenean maximus nulla non pretium iaculis. Quisque imperdiet, nulla in pulvinar aliquet, velit quam ultrices quam, sit amet fringilla leo sem vel nunc. Mauris in lacinia lacus.\nSuspendisse a tincidunt lacus. Curabitur at urna sagittis, dictum ante sit amet, euismod magna. Sed rutrum massa id tortor commodo, vitae elementum turpis tempus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean purus turpis, venenatis a ullamcorper nec, tincidunt et massa. Integer posuere quam rutrum arcu vehicula imperdiet. Mauris ullamcorper quam vitae purus congue, quis euismod magna eleifend. Vestibulum semper vel augue eget tincidunt. Fusce eget justo sodales, dapibus odio eu, ultrices lorem. Duis condimentum lorem id eros commodo, in facilisis mauris scelerisque. Morbi sed auctor leo. Nullam volutpat a lacus quis pharetra. Nulla congue rutrum magna a ornare.\nAliquam in turpis accumsan, malesuada nibh ut, hendrerit justo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Quisque sed erat nec justo posuere suscipit. Donec ut efficitur arcu, in malesuada neque. Nunc dignissim nisl massa, id vulputate nunc pretium nec. Quisque eget urna in risus suscipit ultricies. Pellentesque odio odio, tincidunt in eleifend sed, posuere a diam. Nam gravida nisl convallis semper elementum. Morbi vitae felis faucibus, vulputate orci placerat, aliquet nisi. Aliquam erat volutpat. Maecenas sagittis pulvinar purus, sed porta quam laoreet at.\n","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"06a5844af6dda774ca45ff95d41025b9","permalink":"https://jiwenj.github.io/unused/project/example/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/unused/project/example/","section":"unused","summary":"An example of using the in-built project page.","tags":["Deep Learning"],"title":"Example Project","type":"unused"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"8795a04b2a006be38ef5a114de2470d1","permalink":"https://jiwenj.github.io/unused/project/external-project/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/unused/project/external-project/","section":"unused","summary":"An example of linking directly to an external project website using `external_link`.","tags":["Demo"],"title":"External Project","type":"unused"},{"authors":["Jiwen Jiang","Robert Ford"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Create your slides in Markdown - click the Slides button to check out the example. Supplementary notes can be added here, including code, math, and images.\n","date":1441065600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1441065600,"objectID":"77e2d003fe74cc31fd7ee43bfc81035d","permalink":"https://jiwenj.github.io/unused/publication/journal-article/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/unused/publication/journal-article/","section":"unused","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example journal article","type":"unused"},{"authors":["Jiwen Jiang","Robert Ford"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Create your slides in Markdown - click the Slides button to check out the example. Supplementary notes can be added here, including code, math, and images.\n","date":1372636800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1372636800,"objectID":"a48c6aa27f694a25bbb469d6a82a190e","permalink":"https://jiwenj.github.io/unused/publication/conference-paper/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/unused/publication/conference-paper/","section":"unused","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":[],"title":"An example conference paper","type":"unused"},{"authors":["Jiwen Jiang","吳恩達"],"categories":["Demo","教程"],"content":"import libr print(\u0026#39;hello\u0026#39;) Overview The Wowchemy website builder for Hugo, along with its starter templates, is designed for professional creators, educators, and teams/organizations - although it can be used to create any kind of site The template can be modified and customised to suit your needs. It’s a good platform for anyone looking to take control of their data and online identity whilst having the convenience to start off with a no-code solution (write in Markdown and customize with YAML parameters) and having flexibility to later add even deeper personalization with HTML and CSS You can work with all your favourite tools and apps with hundreds of plugins and integrations to speed up your workflows, interact with your readers, and much more Get Started 👉 Create a new site 📚 Personalize your site 💬 Chat with the Wowchemy community or Hugo community 🐦 Twitter: @wowchemy @GeorgeCushen #MadeWithWowchemy 💡 Request a feature or report a bug for Wowchemy ⬆️ Updating Wowchemy? View the Update Tutorial and Release Notes Crowd-funded open-source software To help us develop this template and software sustainably under the MIT license, we ask all individuals and businesses that use it to help support its ongoing maintenance and development via sponsorship.\n❤️ Click here to become a sponsor and help support Wowchemy’s future ❤️ As a token of appreciation for sponsoring, you can unlock these awesome rewards and extra features 🦄✨\nEcosystem Hugo Academic CLI: Automatically import publications from BibTeX Inspiration Check out the latest demo of what you’ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.\nFeatures Page builder - Create anything with widgets and elements Edit any type of content - Blog posts, publications, talks, slides, projects, and more! Create content in Markdown, Jupyter, or RStudio Plugin System - Fully customizable color and font themes Display Code and Math - Code highlighting and LaTeX math supported Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more! Beautiful Site - Simple and refreshing one page design Industry-Leading SEO - Help get your website found on search engines and social media Media Galleries - Display your images and videos with captions in a customizable gallery Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site Multi-language - 34+ language packs including English, 中文, and Português Multi-user - Each author gets their own profile page Privacy Pack - Assists with GDPR Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects One-Click Deployment - No servers. No databases. Only files. Themes Wowchemy and its templates come with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.\nChoose a stunning theme and font for your site. Themes are fully customizable.\nLicense Copyright 2016-present George Cushen.\nReleased under the MIT license.\n","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"002c8bb625407916ba6b86f3cc10144b","permalink":"https://jiwenj.github.io/unused/paper/getting-started/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/unused/paper/getting-started/","section":"unused","summary":"Welcome 👋 We know that first impressions are important, so we've populated your new site with some initial content to help you get familiar with everything in no time.","tags":["Academic","开源"],"title":"Welcome to Wowchemy, the website builder for Hugo","type":"unused"}]