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JerryYin777 committed Aug 9, 2024
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#### News

<strong style="color:red;"><strong>I’m actively applying for a MLsys Ph.D. position in 2025 Fall! </strong></strong> If you need a student who is familiar with <strong style="color:red;"><strong>both NLP and computer systems </strong></strong> with <strong style="color:red;"><strong>extensive industry experiences</strong></strong>, feel free to <a href="#contact-info">Contact Me</a>!


#### Biography
I am currently a senior Undergraduate Student pursuing a bachelor's Degree in computer science at College of Liberal Arts, University of Minnesota Twin Cities, supervised by Prof. [Zirui Liu](https://zirui-ray-liu.github.io/). In the summer of 2023, I visited [TsinghuaNLP](https://github.com/thunlp) and conducted research under Prof. [Zhiyuan Liu](https://nlp.csai.tsinghua.edu.cn/~lzy/).

Expand All @@ -17,7 +22,7 @@ My current passion revolves around building **EFFICIENT** system solutions to AG
* Quantization (e.g. Attempting to finetune Llama 3.1 405B on a single A100 80GB GPU), the other example includes [IAPT](https://arxiv.org/pdf/2405.18203).
* Long context inference: example includes [Cross Layer Attention](https://github.com/JerryYin777/Cross-Layer-Attention).
2. LLM(VLM) for RELIABLE Hardware Design
* Synthesise pretraining and finetuning common knowledge of CodeLLM, exploring the boundary capabilities of LLM/VLM for hardware design (e.g. pretrain/finetune a VerilogLLM)
* Synthesise pretraining and finetuning common knowledge of CodeLLM, exploring the boundary capabilities of LLM/VLM for hardware design (e.g. pretrain/finetune a VerilogLLM).
* Align the simulation code with the waveform image data to finetune VerilogVLM.

#### Misc
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I am passionate about open source and firmly believe in its potential to disseminate knowledge widely, leverage technology to lead innovation to the world and contribute to the advancement of human society. I am proud to have garnered over **1k stars** and acquired over **250 followers** on [GitHub](https://github.com/JerryYin777). I occasionally share my explorations in the machine learning system and LLM field on [Zhihu](https://www.zhihu.com/people/ycr222/posts) in Mandarin.

#### Contact<p id="contact-info"></p>

✉️ [yin00486 [at] umn.edu](mailto:[email protected])

<!-- Before transferring to the University of Minnesota, I studied at Nanchang University, majoring in Artificial Intelligence in a top-tier class with a School Academic Special Scholarship. I was honored to be advised by Professor [Zichen Xu](https://good.ncu.edu.cn/Pages/Professor.html) at [GOOD LAB](https://good.ncu.edu.cn) starting from March 2022, where my focus was on solving data-centric challenges and building efficient and reliable systems. I was the leader of Nanchang University Supercomputer Cluster Team ([NCUSCC](https://hpc.ncuscc.tech/)) Leader, with experience of ASC22 and SC23(IndySCC). -->

Expand All @@ -34,9 +42,7 @@ I am passionate about open source and firmly believe in its potential to dissemi
<!-- I am passionate about open source and firmly believe in its potential to disseminate knowledge widely, leverage technology to lead innovation to the world and contribute to the advancement of human society. I am proud to have garnered over **1000 stars** and acquired over**200 followers** on GitHub. It is gratifying to know that my open-source projects have benefitted numerous individuals, and I have personally gained valuable knowledge from the open-source community. -->

<!-- #### Contact
* Github: [JerryYin777](https://github.com/JerryYin777)
* Email: yin00486 [at] umn.edu
* Google Scholar:[Congrui Yin's Google Scholar](https://scholar.google.com/citations?hl=en&user=7gsdLw4AAAAJ)
#### Education
2023.12 - Present, Computer Science, College of Liberal Arts, University of Minnesota Twin Cities.
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For full paper list (not now, but I'm sure there will be more great work in the future), please refer to my [Google Scholar](https://scholar.google.com/citations?user=7gsdLw4AAAAJ&hl=en)

- *W. Zhu, Y. Ni, <strong><strong>C. Yin</strong></strong>, A. Tian, X. Wang, G. Xie. (2024). IAPT: Instance-Aware Prompt Turing for Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics <strong><strong>(ACL 2024)</strong></strong>.*[[Paper]](https://arxiv.org/pdf/2405.18203)

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<a class="nav-link me-lg-3" href="#publications">PUBLICATIONS</a>
</li>
<li class="nav-item">
<a class="nav-link me-lg-3" href="#project">SIDE PROJECT</a>
<a class="nav-link me-lg-3" href="#project">SIDE PROJECTS</a>
</li>
<li class="nav-item">
<a class="nav-link me-lg-3" href="#awards">AWARDS</a>
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<div class="container px-5">
<header>
<!-- <h2 id="achievements-subtitle"><i class="bi bi-trophy-fill"></i>&nbsp;ACHIEVEMENTS</h2> -->
<h2 id="achievements-subtitle"><i class="bi bi-code-slash"></i>&nbsp; SIDE PROJECT</h2>
<h2 id="achievements-subtitle"><i class="bi bi-code-slash"></i>&nbsp; SIDE PROJECTS</h2>
</header>
<div class="main-body" id="project-md">
</div>
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<!-- Side Project -->

<!-- Awards -->
<section class="bg-gradient-primary-to-secondary-light mt5 md5" id="awards">
<section class="bg-gradient-primary-to-secondary-gray mt5 md5 id="awards">
<div class="container px-5">
<header>
<h2 id="awards-subtitle"><i class="bi bi-award-fill"></i>&nbsp;AWARDS </h2>
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<!-- Awards -->

<!-- Service -->
<section class="bg-gradient-primary-to-secondary-gray mt5 md5" id="service">
<section class="bg-gradient-primary-to-secondary-light mt5 md5" id="service">
<div class="container px-5">
<header>
<h2 id="awards-subtitle"><i class="bi bi-chat-left-text"></i>&nbsp;SERVICE </h2>
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const content_dir = 'contents/'
const config_file = 'config.yml'
const section_names = ['home', 'publications', 'awards', 'project', 'achievements', 'service']
const section_names = ['home', 'publications', 'awards', 'project', 'service']


window.addEventListener('DOMContentLoaded', event => {
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