maodi on a forest patrol

Hello, my name is Yue Fang. I am currently pursuing a Ph.D. in Computer Science at Peking University. My research interests lie in medical large language models (LLMs), reinforcement learning (RL), and retrieval-augmented generation (RAG).

Medical LLM Reinforcement Learning RAG Knowledge Graph EHR Reasoning Continual Pretraining

📖 Educations

2025.09 — now
Peking University · School of Computer Science
Ph.D. in Computer Science and Technology
2021.09 — 2024.07
Peking University · School of Software and Microelectronics
M.S. in Software Engineering
2017.09 — 2021.07
Nankai University · School of Cyberspace Security
B.S. in Information Security & LL.B. in Law (Dual Degree)

🔥 News

  • 2026.04:  🎉 Our ProMed is accepted by ACL 2026 main conference.
  • 2026.04:  🎉 Our DFAMS is accepted by ACL 2026 main conference.
  • 2026.01:  🎉 Our ADEPT is accepted by ICLR 2026 conference.
  • 2026.01:  🎉 Our GPS is accepted by ICLR 2026 conference.
  • 2025.11:  🎉 Our EAG-RL is accepted by AAAI 2026 conference(oral).
  • 2025.08:  🎉 Our 3DS is accepted by EMNLP 2025 main conference.
  • 2025.06:  🎉 Our TC-RAG is accepted by ACL 2025 main conference(oral).
  • 2025.06:  🎉 Our HyKGE is accepted by ACL 2025 main conference.
  • 2025.05:  🎉 Our HistoMOCO is accepted by Cells STAR Protocol 2025.

📝 Publications

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Papers per year
ICLR 2026
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ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning

Jinyang Zhang(co-first author), Yue Fang(co-first author), Hongxin Ding(co-first author), Weibin Liao(co-first author), Muyang Ye, Xu Chu, Junfeng Zhao, Yasha Wang

Code

ICLR 2026
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GPS: Graph-guided Proactive Information Seeking in Large Language Models

Ruiqing Li, Yongxin Xu, Xinke Jiang, Zhibang Yang, Xinyu Ma, Yue Fang, Junfeng Zhao, Yasha Wang, Xu Chu

AAAI 2026
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Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance

Yue Fang(co-first author), Yuxin Guo(co-first author), Jiaran Gao(co-first author), Hongxin Ding(co-first author), Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang

Code

EMNLP 2025
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3DS: Decomposed Difficulty Data Selection’s Case Study on LLM Medical Domain Adaptation

Hongxin Ding(co-first author), Yue Fang(co-first author), Runchuan Zhu(co-first author), Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang

Code

ACL 2026
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ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs

Hongxin Ding(co-first author), Baixiang Huang(co-first author), Yue Fang(co-first author), Weibin Liao, Xinke Jiang, Zheng Li, Junfeng Zhao, Yasha Wang

Code

ACL 2026
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DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search

Zhibang Yang, Xinke Jiang, Rihong Qiu, Ruiqing Li, Yihang Zhang, Yue Fang, Yongxin Xu, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

[Code Repository Coming Soon]

ACL 2025
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TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems

Xinke Jiang(co-first author), Yue Fang(co-first author), Rihong Qiu(co-first author), Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma,Xu Chu, Junfeng Zhao, Yasha Wang

Code

ACL 2025
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HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses

Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

Code

Cells STAR Protocol 2025
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Protocol for detecting oral squamous cell carcinoma in histopathology images using the momentum contrast framework

Xiaoyun Zhang, Yue Fang, Weibin Liao, Junyi Ma, Xin Gao, Min Gao, Junfeng Zhao

Code