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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, where I was fortunate to be advised by Prof. Kenji Tei and Prof. Shinichi Honiden.

My current research interests include:

  • Knowledge Discovery:
    • Effective and efficient knowledge mining from text, LLMs, KGs, and its evaluation.
  • Knowledge-Enhanced ML Applications:
    • Knowledge-Enhanced LLMs; Knowledge-Powered AI4Science Applications
I am open to research discussions and collaborations.
Feel free to reach out: pj20[at]illinois[dot]edu

Publications (2022.9 - present)

  1. Preprint
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    RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
    Pengcheng JiangLang CaoRuike ZhuMinhao JiangYunyi ZhangJimeng Sun, and Jiawei Han
  2. ICLR’25
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    Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
    In The Thirteenth International Conference on Learning Representations
  3. NeurIPS’24
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    KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
    Pengcheng JiangLang CaoCao XiaoParminder BhatiaJimeng Sun, and Jiawei Han
    In The Thirty-Eighth Annual Conference on Neural Information Processing Systems
  4. ICLR’24
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    GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
    Pengcheng JiangCao XiaoAdam Cross, and Jimeng Sun
    In The Twelfth International Conference on Learning Representations
  5. AAAI’25
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    Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
    Pengcheng JiangCao XiaoTianfan FuJimeng Sun, and Jiawei Han
    In Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence
  6. NAACL’24
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    TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
    Pengcheng JiangCao XiaoZifeng WangParminder BhatiaJimeng 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)
  7. NAACL’24
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    GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
    Pengcheng JiangJiacheng LinZifeng WangJimeng 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. ACL’23
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    Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
    Pengcheng JiangShivam AgarwalBowen JinXuan WangJimeng Sun, and Jiawei Han
    In Findings of the Association for Computational Linguistics: ACL 2023
  9. EMNLP’24
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    Taxonomy-guided Semantic Indexing for Academic Paper Search
    SeongKu KangYunyi ZhangPengcheng JiangDongha LeeJiawei Han, and Hwanjo Yu
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  10. KDD’23
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    PyHealth: A Deep Learning Toolkit for Healthcare Applications
    In The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  11. Preprint
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    MedKG: Empowering Medical Education with Interactive Construction and Visualization of KGs via LLMs
    Pengcheng JiangMegan LimAdam Cross, and Jimeng Sun

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