Qiyuan Chen

Qiyuan Chen

Ph.D. Student at Zhejiang University

My name is Qiyuan Chen (陈启源) and I am currently a first-year Ph.D. student at the College of Computer Science and Technology, Zhejiang University, co-supervised by Prof. Jian Wu and Dr. Jintai Chen. Before that, I got my B.Sc. degree from the School of Mathematics and Statistics, Central China Normal University, under the guidance of Prof. Bo Li and Dr. Haitong Yang.

Since June 2023, I’ve been working as a full stack and AI research intern at WeDoctor AI Lab, under the mentorship of Shengyang Kong. I am also a member of the Zhejiang Key Laboratory of Medical Imaging Artificial Intelligence.

My current research interests primarily include: Machine Learning (ML), Natural Language Processing (NLP) and Multi Modal Learning (MM). Specifically,

  • Natural Language Processing in Low Resource Scenarios
  • Interpretability and Optimization of Large Language Models
  • Statistical Methods for Deep Learning and Tabular Data Prediction
  • Multi Modal Learning and its Applications in Medical

Feel free to contact me if your research lies within these or related areas!

And I work really closely with Qian Shao, Hongsen Huang, Jiahe Chen and Zepeng Li.

In my spare time, I really enjoy developing interesting websites and tools using FastAPI and Vue.js, and I’m also interested in DevOPS (CI/CD, container, etc.). If you’re interested, check out my projects on my GitHub.

I also enjoy digital devices (mechanical keyboards, NAS, etc.), badminton, running and chess in my spare time.

🔥 News

  • 2024.09, One paper on Semi-Supervised Learning is accepted by NIPS 2024. Congratulations to Qian Shao!

  • 2024.09, I’m embarking on my PhD journey at Zhejiang University.

  • 2024.05, One paper on Tabular Data Prediction is accepted by KDD 2024.

📝 Publications

(*: Equal contribution; $\dagger$: Corresponding author(s))

2024

💻 Projects

1. Luotuo: An Instruction-following Chinese Language model, LoRA tuning on LLaMA (Founder)

This project has already received over 3.5k stars.

This project contains multiple sub-projects. For more sub-projects, please view the project homepage.

2. LLMs Application Platform @ Wedoctor Inc. (Frontend Developer)

This is a LLMs application and development platform, designed to help downstream engineers better compare and use LLMs. It includes model square, knowledge square, comparison center, document center, etc.

In this project, I completed the development of all front-end pages and interactions with Jiahe Chen. This project has already been launched and is in operation currently.

3. MMOwl (Founder, Full Stack Developer)

4. AInterview (Team Lead, Main Contributor)

This is a web-based tool that utilizes Large Language Models (LLMs) to help job seekers practice for interviews using state-of-the-art technologies such as RAG and Agent.

As the team lead, I spearheaded both the architectural design and the development of backend algorithms.

🏅 Honors and Awards

  • 2024.05, Outstanding Graduates (Undergraduate)
  • 2023.11, Principal’s Scholarship (Undergraduate) (ONLY 10 people in the whole school each year)
  • 2021.11, China Undergraduate Mathematical Contest in Model (CUMCM), First Prize, under the guidance of Prof. Bo Li
  • 2019.11, The 19th Awarding Program For Future Scientists (The largest pre-college scientific research event in China), Second Prize

📖 Educations

🔎 Reviews

  • Review for Conferences: ACL, EMNLP
  • Review for Journals:
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