Hello, I’m Jiatan Huang, currently a fourth-year undergraduate student at University of Minnesota.

My research focuses on advancing Natural Language Processing in biomedical and clinical domains. I’m particularly interested in developing innovative NLP models for complex question answering and information extraction, emphasizing weakly supervised and zero-shot learning approaches. My work also explores the integration of large language models with knowledge graphs, aiming to enhance retrieval-augmented generation and inference in healthcare applications. Through this research, I strive to contribute to AI-driven solutions that can significantly impact patient care and medical decision-making.

Actively seeking Computer Science PhD opportunities starting in Fall 2025.

📖 Educations

• 2021.09 - 2024.05, BS in Computer Science., University of Minnesota, Twin Cities

📝 Selected Preprints

See more publication details in my Google Scholar

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs

Jiatan Huang*, Mingchen Li*, Zonghai Yao, Zhichao Yang, Yongkang Xiao, Feiyun Ouyang, Xiaohan Li, Shuo Han, Hong Yu

CancerLLM: A Large Language Model in Cancer Domain

Mingchen Li, Jiatan Huang, Jeremy Yeung, Anne Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang

Benchmarking Retrieval Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness

Mingchen Li, Zaifu Zhan, Han Yang, Yongkang Xiao, Jiatan Huang, Rui Zhang

📝 Projects

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💻 Internships

• 2023.05 - 2023.12, SWE Co-Op at AtriCure.Inc, Minnetonka, MN