Rchr
J-GLOBAL ID:202301008750385531   Update date: Apr. 21, 2026

Li Zihui

Li Zihui
Affiliation and department:
Homepage URL  (1): https://www.li-lab.me
Research field  (2): Biological, health, and medical informatics ,  Perceptual information processing
Research theme for competitive and other funds  (2):
  • 2024 - 2027 Enhancing Factuality in Medical QA: Integrating Structured Knowledge Bases with Large Language Models
  • 2024 - 2026 LLMでの日本語医療テキスト生成信頼性向上
Papers (24):
  • Yunze Xiao, Tingyu He, Lionel Z. Wang, Yiming Ma, Xingyu Song, Xiaohang Xu 0002, Irene Li, Ka Chung Ng. JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community. EACL. 2026
  • Dairui Liu, Derek Greene, Irene Li, Xuefei Jiang, Ruihai Dong. Topic-Centric Explanations for News Recommendation. Transactions on Recommender Systems. 2025. 3. 2. 17-25
  • Fan Gao, Xinjie Zhao, Ding Xia, Zhongyi Zhou, Rui Yang, Jinghui Lu, Hang Jiang, Chanjun Park, Irene Li. HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models. CIKM 2025. 2025. abs/2504.14594
  • Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Zixin Xu, Xiujie Chen, Issey Sukeda, Irene Li. Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs. SLM4Health Workshop, AIME 2025. 2025. abs/2504.10982
  • Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong. Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning. Health care science. 2025. 4. 2. 110-143
more...
MISC (20):
  • Dairui Liu, Honghui Du, Boming Yang, Neil Hurley, Aonghus Lawlor, Irene Li, Derek Greene, Ruihai Dong. Transformers4NewsRec: A Transformer-based News Recommendation Framework. 2024
  • Rui Yang, Edison Marrese-Taylor, Yuhe Ke, Lechao Cheng, Qingyu Chen, Irene Li. Integrating UMLS Knowledge into Large Language Models for Medical Question Answering. 2023
  • Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li. NLPBench: Evaluating Large Language Models on Solving NLP Problems. 2023
  • Dairui Liu, Derek Greene, Irene Li, Xuefei Jiang, Ruihai Dong. Topic-Centric Explanations for News Recommendation. 2023
  • Irene Li, Aosong Feng, Dragomir Radev, Rex Ying. HiPool: Modeling Long Documents Using Graph Neural Networks. ACL 2023. 2023
more...
Lectures and oral presentations  (4):
  • Text Generation with LLMs: Case Studies on Special Domains
    (Winter Spotlight Lecture、Yonsei University 2025)
  • Enhancing Domain-Specific Large Language Models with Knowledge Graphs
    (BK Seminar Series, Korea University 2025)
  • A Journey from Transformers to Large Language Models: an Educational Perspective. International Conference on AI-generated Content
    (AIGC2023 2023)
  • A brief introduction to text summarization
    (Introduction to Text Mining at National Institutes of Health (NIH) 2023)
Education (3):
  • 2017 - 2022 Yale University
  • 2014 - 2015 University College Dublin
  • 2010 - 2014 Wuhan Polytechnic University
Work history (2):
  • 2025/04 - 現在 東京大学工学系研究科技術経営戦略学専攻 特任講師
  • 2022/08 - 2025/03 東京大学情報基盤センター 特任助教
Awards (4):
  • 2025/11 - Innovators Under 35, Japan Edition
  • 2025 - Google Research Scholar Award Advancing Multilingual Medical AI: GlobMed Benchmarking and Agentic Pipelines for Medical QA in Low-Resource Languages
  • 2024 - 東京大学 ジェンダー・エクイティ推進オフィス 女性研究者研究スキルアップ支援事業
  • 2023/09 - Best Student Paper Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
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