Qiyuan Chen

Qiyuan Chen

Ph.D. Student at Zhejiang University

My name is Qiyuan Chen (陈启源) and I am currently a 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.

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

  • Tabular Data Prediction and AutoML for Tabular Data
  • Multi Modal Learning and its Applications in Medical
  • Methods and Applications for Synthetic Data Generation
  • Theories and Methods in Semi-Supervised Learning

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

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

In my free time, I really enjoy developing interesting websites and tools using Java (sometimes Python with FastAPI) and Vue.js. You can check out my projects on my GitHub if you’re interested.

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

🔥 News

  • 2024.06, One paper on Medical Image Processing is accepted by KDD AIDSH 2024. Congratulations to Qian Shao!

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

  • 2024.03, One paper on Large Language Model Distillation is accepted by NAACL 2024.

  • 2023.11, I am honored to have been awarded the Principal’s Scholarship.

📝 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. ChatInterview (Team Lead, Main Contributor)

You can check out the DEMO here.

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.

NOTE: Due to privacy considerations, this project will be fully open-sourced in the second half of 2024.

🏅 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
  • 2019.11, The 19th Awarding Program For Future Scientists (The largest pre-college scientific research event in China), Second Prize

📖 Educations

🎒 Visiting and Internship

  • 2024.06 - 2024.09, Visiting Scholar, Medical Big Data Center, Guangdong Academy of Medical Sciences, had the honor of working with Prof. Huiying Liang and Shuai Huang.

🔎 Reviews

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