I am a first year Ph.D. student in Computer Science at Stony Brook University, advised by Tengfei Ma. Before starting my Ph.D., I received my B.S. in Mathematics from Southern University of Science and Technology in 2024.

My research interests lie in machine learning, natural language processing (NLP) and computational biology. In particular, I work on LLM reasoning, LLM agentic system and clinical data modeling.

Research

Paper 1 figure
HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models
Yuyu Liu, Haotian Xu, Yanan He, Sarang Rajendra Patil, Mengjia Xu, Tengfei Ma
Preprint
[Code] [arXiv]
Paper 2 figure
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering
Yuyu Liu, Sarang Rajendra Patil, Mengjia Xu, Tengfei Ma
Findings of ACL 2026
[Paper] [Code] [arXiv]
Paper 3 figure
Efficient Imputation for Patch-based Missing Single-cell Data via Cluster-regularized Optimal Transport
Yuyu Liu, Jiannan Yang, Ziyang Yu, Weishen Pan, Fei Wang, Tengfei Ma
ACM BCB 2026
[Paper] [Code] [arXiv]

A full list is available on my Google Scholar profile.

News

  • 5/2026: One paper about single data imputation is accepted by ACM BCB 2026.
  • 4/2026: One paper about hyperbolic EHR modeling for EHR-QA is accepted by ACL2026 (Findings).
  • 8/2025: Started Ph.D.

Contact

Feel free to reach out at yuyu.liu@stonybrook.edu. You can also find me on GitHub or LinkedIn.