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Patrick Jiang

Computer Science Ph.D. Student @ UIUC

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Hello! This is Patrick.

I am privileged to be advised by Prof. Jiawei Han and Prof. Jimeng Sun for text mining related research and AI4Health related research, respectively.

Before UIUC, I earned my B.E. in CS from Waseda University in Tokyo, Japan, where I was fortunate to be advised by Prof. Kenji Tei and Prof. Shinichi Honiden.

My current research interests include:

  • Knowledge Discovery:
    • Information Retrieval; Knowledge Graph Mining
  • Knowledge-Enhanced ML Applications:
    • Retrieval-Augmented Generation; Knowledge-Powered AI4Health Applications

Publications (2022.9 - present)

  1. Preprint
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    DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
    Pengcheng Jiang, Jiacheng Lin, Lang Cao, R. Tian, S. Kang, Z. Wang, Jimeng Sun, and Jiawei Han
    arXiv preprint arXiv: 2503.00223
  2. Preprint
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    RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
    Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jimeng Sun, and Jiawei Han
    arXiv preprint arXiv: 2502.10996
  3. ICLR’25
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    Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
    Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, and Jiawei Han
    In The Thirteenth International Conference on Learning Representations
  4. NeurIPS’24
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    KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
    Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, and Jiawei Han
    In The Thirty-Eighth Annual Conference on Neural Information Processing Systems
  5. ICLR’24
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    GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
    Pengcheng Jiang, Cao Xiao, Adam Cross, and Jimeng Sun
    In The Twelfth International Conference on Learning Representations
  6. AAAI’25
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    Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
    Pengcheng Jiang, Cao Xiao, Tianfan Fu, Jimeng Sun, and Jiawei Han
    In Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence
  7. NAACL’24
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    TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
    Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, and Jiawei Han
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  8. NAACL’24
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    GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
    Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, and Jiawei Han
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  9. ACL’23
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    Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
    Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, and Jiawei Han
    In Findings of the Association for Computational Linguistics: ACL 2023
  10. EMNLP’24
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    Taxonomy-guided Semantic Indexing for Academic Paper Search
    SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, and Hwanjo Yu
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  11. KDD’23
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    PyHealth: A Deep Learning Toolkit for Healthcare Applications
    Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin Danek, and Jimeng Sun
    In The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  12. Report
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    MedKG: Empowering Medical Education with Interactive Construction and Visualization of KGs via LLMs
    Pengcheng Jiang, Megan Lim, Adam Cross, and Jimeng Sun

Industry Experience

Google Research

Student Researcher (Incoming)

Summer 2025 | Mountain View, USA

Pre-PhD Industry Experience
GE HealthCare

Research Scientist Intern

Summer 2024 | Seattle, USA

Ant Group

AI Software Engineer

Nov. 2021 - Jul. 2022 | Hangzhou, CN

Software & Models

PyHealth - A Deep Learning Toolkit for Healthcare

Main Developers: Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Benjamin Danek

TxBKG - Convert Any PDFs into Highly Interactive Knowledge Graphs!

Developer: Patrick Jiang

Text2Graph-LLM: Specialized LLMs for Converting Text to Graphs

Developer: Patrick Jiang

DeepRetrieval: Hacking Real Search Engines and Retrievers with LLMs via RL

Developer: Patrick Jiang, Jiacheng Lin, Lang Cao