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, vLLM
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
Reviewer Service:
Journal: JMIR Medical Informatics, International Journal of Computers and Applications, Applied Artificial Intelligence Conference: ACL-SRW’25, ICNLSP’25, Amplify Informatics Conference’26
news
| Nov 21, 2025 | A paper I co-authored has been accepted by npj Digital Medicine (If=15.1): “Automating Expert-Level Medical Reasoning Evaluation of Large Language Models”. |
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| Nov 15, 2025 | I attended the AMIA 2025 Annual Symposium at Atlanta, and did an oral presentation for my paper: “Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements” |
| Oct 14, 2025 | A paper I co-authored has been accepted by Science Advance (If=12.5): “Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness”, after over one year review process and two revisions. |
| Oct 06, 2025 | A paper I co-authored has been accepted by npj Digital Medicine (If=15.1): “Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis”. |
| Sep 24, 2025 | A review paper “Mitigating Ethical Issues for Large Language Models in Oncology: A Systematic Review” I co-authored just got published in JCO Clinical Cancer Informatics. |
| Jul 12, 2025 | I accepted to ba a reviewer for Applied Artificial Intelligence. |
| Jul 11, 2025 | MMRAG paper was accepted to JAMIA. Happy! |
| Jun 06, 2025 | My paper was accepted to AMIA 2025 Annual Symposium. |
| Jun 06, 2025 | I accepted to be a reviewer for ACL-SRW 2025. |
| May 16, 2025 | A review paper I co-authored was accepted to npj Artificial Intelligence. |
| 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   |