jerryyin777 / jerryyin777.github.io Goto Github PK

News:

• One Paper Accepted by ACL2024 main conference
• I am actively looking forward to 25Spring/25Fall Ph.D. Positions in USA.
• I am located in Haidian District, Beijing at SenseTime Research from May to late August, feel free to contact me! (and eat) (Note: From Github)

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. (Wechat: JerryYin777)

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 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 at GOOD LAB 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) Leader, with experience of ASC22 and SC23(IndySCC).

I was also fortunately recruited as a research assistant at TsinghuaNLP in Beijing from July to September 2023, advised by Professor Zhiyuan Liu, trying to build efficient distributed large language model training framework BMTrain and Develop 10B Chinese LLM CPM-Bee.

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 189 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.

Here is my CV in English Version, Template here Using Typst.

• Github: JerryYin777
• Email: yin00486 [at] umn.edu
• Google Scholar：Congrui Yin's Google Scholar

2023.12 - 2024.12 (Expected), Computer Science, College of Liberal Arts, University of Minnesota Twin Cities.

2021.09 - 2023.12, Artificial Intelligence, School of Information Engineering, Nanchang University.

Natural Language Processing, Machine Learning System.

• 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 project.

• 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.

If you want to know more about me, feel free to click on my Personal Website.

Let's Accelerate!