ZZF.jpg

zhan8023[at]umn[dot]edu

Zaifu Zhan

(占在福)

Ph.D. student in Electrical and Computer Engineering at the University of Minnesota, Twin Cities
Creative, Curious, Honest, Passionate

Welcome! I am currently pursuing a Ph.D. in Electrical and Computer Engineering at the University of Minnesota, Twin Cities, with an anticipated completion in 2026. Prior to this, I earned a Master of Engineering in Electrical Engineering from Tsinghua University in 2021 and a Bachelor of Science in Electrical Engineering from Beijing Jiaotong University in 2018. I am currently co-advised by Prof.Zhang at the Zhang Research Group and by Prof. Elia.

Research Interests: I am passionate about machine learning, natural language processing and computer vision. I enjoy appling state-of-the-art techniques to tackle real-world problems. Through my work, I aim to develop innovative tools and solutions that empower industries and advance scientific knowledge. Let’s connect and explore how we can collaborate! 😊

Skills:
Programming: Python(Proficient), MATLAB(Proficient), SQL, R, C/C++, Java
Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face
Math: Linear Algebra, Probability & Statistics, Convex and integer optimization, Common ML Algorithms, DL basics
Data Processing: Pandas, NumPy, Data Cleaning, Data Visualization (Matplotlib, Seaborn)
Others: Linux Bash, Shell, Git, GitHub, Slurm, LaTeX, Processing, Jupyter

news

May 16, 2025 A paper I co-authored was accepted to ACL Main Conference.
May 05, 2025 I attended the NAACL conference and did a poster presentation for my accepted paper.
Apr 11, 2025 Just received the offer!!! I will be join Atlassian in this coming summer as an AI research intern. See my linkedin post.
Mar 07, 2025 The preprint of our paper EPEE: Towards Efficient and Effective Foundation Models in Biomedicine is available on arXiv.
Feb 22, 2025 The preprint of our paper MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning is available on arXiv and has been submitted to JAMIA.
Feb 19, 2025 I collaborated on the paper Benchmarking of Large Language Models for the Dental Admission Test which was published in the Science Partner Journal Health Data Science.
Jan 23, 2025 The paper Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models was accepted to NAACL 2025 !!!
Jan 12, 2025 “RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements” was published in JAMIA.
Dec 31, 2024 Paper “RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements” was accepted to JAMIA. Exciting!!!
Dec 18, 2024 Released a pre-print version of paper: Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models
Dec 14, 2024 Start developing my personal webpage :sparkles: :smile: