Pai Liu Ph.D. Student (Computer Science, AI Track) University of Rochester Rochester, NY, USA Email: pliu29@ur.rochester.com Website: pailiu1998.github.io

Biography

I am a Ph.D. student in the Computer Science Department (AI Track) at the University of Rochester, advised by Prof. Ehsan Hoque. My research focuses on building practical AI systems for Parkinson’s disease screening and agentic LLMs. I aim to turn advanced AI techniques into tools that help people live more convenient and better lives.

Previously, I had wonderful research experiences working with Prof. Yue Zhang and Prof. Rada Mihalcea. I am currently collaborating closely with Wangchunshu Zhou.

I am actively seeking Summer 2025 internship opportunities. Please feel free to reach out if you think my background could be a good fit.

Education

• University of Rochester, Computer Science Department
  Aug 2023 - Present
  
  Ph.D. Student (AI Track)
  Advisor: Prof. Ehsan Hoque
  
• Westlake University, School of Engineering
  Jun 2020 - Jul 2021
  
  Visiting Student; Research Assistant for Prof. Yue Zhang
  
• Northeastern University, Dept. of Software Engineering
  Sep 2017 - Jun 2021
  
  B.E. in Software Engineering (Jun 2021)
  

Experience

• OPPO, Persona AI Lab
  Sep 2025 - Present
  
  Research Intern
  
• Saudi Ministry of Defense, AI Center
  Jun 2025 - Sep 2025
  
  Research Intern
  
• Westlake University, School of Engineering
  Aug 2021 - Aug 2023
  
  Research Assistant (Prof. Yue Zhang)
  
• University of Michigan, Ann Arbor
  Jun 2022 - Dec 2022
  
  Research Intern (Prof. Rada Mihalcea)
  
• New York University
  May 2022 - Jun 2022
  
  Research Intern (Prof. Duygu Ataman)
  

Selected Publications

* indicates equal contribution; † indicates corresponding author.

• ICLR 2026: Towards Personalized Deep Research: Benchmarks and Evaluations. Y. Liang, J. Li, Y. Wang, P. Wang, M. Tian, Pai Liu, S. Qiao, R. Fang, H. Zhu, …, 2026.
• NEJM AI:
  Remote AI Screening for Parkinson's Disease: A Multimodal, Cross-Setting Validation Study
  MS Islam, T Adnan, A Abdelkader, Z Liu, E Ma, S Park, A Azad, P Liu, … 2025
• EMNLP Findings 2025:
  Oagents: An empirical study of building effective agents
  H Zhu, T Qin, K Zhu, H Huang, Y Guan, J Xia, Y Yao, H Li, N Wang, P Liu, … 2025
• WordPlay Workshop 2025:
  BaZi-Based Character Simulation Benchmark: Evaluating AI on Temporal and Persona Reasoning
  S Zheng*, P Liu*, X Chen*, J Dong, S Jia 2025
• EMNLP Findings 2024: A Survey on Open Information Extraction from Rule-based Model to Large Language Model. Pai Liu*, Wenyang Gao*, Wenjie Dong*, Lin Ai*, Ziwei Gong*, Songfang Huang, Zongsheng Li, Ehsan Hoque, Julia Hirschberg, Yue Zhang. 2024
• Transactions on Machine Learning Research (TMLR): Exploring Generative Neural Temporal Point Process. Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li. 2023
• ACL-IJCNLP 2021 (long): Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? Cunxiang Wang*, Pai Liu*, Yue Zhang.

Professional Activities

• Conference Reviews:
  ARR, CHI, COLM, EMNLP, TKDE, SemEval, Digital Biomarkers, IEEE Pervasive Computing

Interests

• I love street dance and work as a part-time street dance instructor.
• I also enjoy rock climbing and fitness training.