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JerryYin777 committed Jan 3, 2024
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10 changes: 2 additions & 8 deletions contents/awards.md
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- First-prize Academic Scholarship, 2023.
- School Special Academic Scholarship, 2023.**(1%)**

- Freshman Academic Scholarship, 2022.

- Excellent Graduation Project of Jiangsu Province, 2022.

- First-prize Enterprise Scholarship, 2021.

- First-prize Academic Scholarship, 2019.
- First-Class Academic Scholarship, 2022.**(8%)**
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I am currently a junior pursuing a Bacholar's Degree in computer science at College of Liberal Arts, University of Minnesota Twins Cities.
I am currently a junior Undergraduate Student pursuing a bachelor's Degree in computer science at College of Liberal Arts, University of Minnesota Twins Cities.

My research interests lie in Large Multimodal Models (LMMs) and their application in diverse practical scenarios, such as biological and computer system large models. My focus also extends to developing efficient machine learning systems aimed at expediting the training and inference processing of LMMs, especially LLMs, leveraging expertise in high-performance computing and distributed systems.
My research interests lie in Large Multimodal Models (LMMs) and their application in diverse practical scenarios, such as biological and system large models. My focus also extends to developing efficient machine learning systems aimed at expediting the training and inference processing of LMMs (especially LLMs), leveraging expertise in high-performance computing and distributed systems.

Before transferring to University of Minnesota, I was studying in Nanchang University majoring Artificial Intelligence in top-tier class.
Before transferring to the University of Minnesota, I studied at Nanchang University, majoring in Artificial Intelligence in a top-tier class with 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).

I was also fortunately recruited as a research assistant at **TOP** NLP Lab [TsinghuaNLP](https://github.com/thunlp) at Beijing from July to September in 2023, advised by Professor [Zhiyuan Liu](https://nlp.csai.tsinghua.edu.cn/~lzy/), trying to building efficient distributed large language model training framework [BMTrain](https://github.com/OpenBMB/BMTrain) and Develop 10B Chinese LLM [CPM-Bee](https://github.com/OpenBMB/CPM-Bee/blob/main/README_en.md).

I am passionate about open source and firmly believe in its potential to disseminate knowledge widely, leverage technology to lead the innovation to the world, and contribute to the advancement of human society. I am proud to have garnered over **1000 stars** and acquired **120 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
* 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
2022.08 - present, Computer Science and Technology, School of Computer Science and Technology, China University of Mining and Technology.
2024.01 - Present, Computer Science, College of Liberal Arts, University of Minnesota Twins Cities.

2018.08 - 2022.06, Data Science and Big Data Technology, School of Computer Science and Technology, China University of Mining and Technology.
2021.09 - 2023.12, Artificial Intelligence, School of Information Engineering, Nanchang University.

#### Research Interests
Deep Learning, Artificial Intelligence Seismology, Mine Microseismic.
Natural Language Processing, Machine Learning System, Human Computer Interaction.

#### Skills
* **Deep Learning**
* Artificial Intelligence Seismology, Mine Microseismic.
* **Natural Language Processing:** Proficient in using the PyTorch framework, with the ability to reproduce mainstream large-scale models in the industry (such as Baichuan, llama2, Qwen). Proficient in using quantization and inference tools such as QLoRA, vLLM, and skilled in distributed parallel training (using training tools such as BMTrain, DeepSpeed).

* **High Performance Computing:** Proficient in CUDA Programming, familiar with C++, knowledgeable in compiler optimization principles, and understanding of MPI, OpenMP, and SIMD acceleration optimization technologies.

* **Computer System Architecture:** Familiar with GPU architecture and RISC-V instruction set, and has participated in the [One Life, One Core](https://ysyx.oscc.cc/) project.

#### S
* **Other:** Understanding of serverless computing architecture, experience in applying federated learning in network security, involvement in both front-end and back-end development, familiarity with Linux operating system and operation and maintenance ( maintained a large server cluster with 21 nodes in the GOOD LAB). Additionally, has researched computer vision and reinforcement learning in the field of artificial intelligence.
8 changes: 2 additions & 6 deletions contents/publications.md
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- *<strong><strong>Li, S.</strong></strong>, Yang, X., Cao, A., Wang, C., Liu, Y., Liu, Y., & Niu, Q. (2023). Seismogram Transformer: A generic deep learning backbone network for multiple earthquake monitoring tasks. arXiv preprint arXiv:2310.01037.* [[Paper]](https://arxiv.org/abs/2310.01037) [[Code]](https://github.com/senli1073/SeisT)
- *X. Gao, W. Zhu, J. Gao and <strong><strong>C. Yin</strong></strong>. (2023). F-PABEE: Flexible-Patience-Based Early Exiting For Single-Label and Multi-Label Text Classification Tasks. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).* [[Paper]](https://ieeexplore.ieee.org/abstract/document/10095864)

- *Cao, A., Yang, X., Wang, C., <strong><strong>Li, S.</strong></strong>, Liu, Y., Dou, L. & Niu, Q. (2023). High-precision phase picking and automatic source locating method for seismicity in mines based on deep transfer learning.* [[Paper]](https://doi.org/10.13225/j.cnki.jccs.2023.0095)

- *Cao, A., Liu, Y., Yang, X., <strong><strong>Li, S.</strong></strong>, Wang, C., Bai, X. & Liu, Y. (2022). Physical index and Data Fusion-Driven method for coal burst prediction in time sequence. Journal of China Coal Society.* [[Paper]](https://doi.org/10.13225/j.cnki.jccs.2022.0680)

- *Yang, X., Yu, X., Zhang, C., <strong><strong>Li, S.</strong></strong>, & Niu, Q. (2021). MineGPS: battery-free localization base station for coal mine environment. IEEE Communications Letters.* [[Paper]](https://ieeexplore.ieee.org/abstract/document/9433550)
- *<strong><strong>C. Yin</strong></strong>. (2023). Multi-scale and multi-task learning for human audio forensics based on convolutional networks. International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023).* [[Paper]](https://doi.org/10.1117/12.2681344)
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<a class="nav-link me-lg-3" href="#awards">AWARDS</a>
</li>
<li class="nav-item">
<a class="nav-link me-lg-3" href="#awards">CV</a>
<a class="nav-link me-lg-3" href="docs/Congrui_Yin_CV.pdf">CV</a>
</li>

</ul>
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<div class="container px-5">
<div class="text-white-50 small">
<div id="copyright-text" class="mb-2"></div>
<a id="github-link" href="https://github.com/JerryYin777/JerryYin777.github.io">Github</a>
<a id="github-link" href="https://github.com/JerryYin777">Github</a>
<span class="mx-1">&middot;</span>
<a id="license-link" href="https://github.com/JerryYin777/JerryYin777.github.io/blob/master/LICENSE">License</a>
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