Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2023)

RAGraph: A General Retrieval-Augmented Graph Learning Framework. - Xinke Jiang; Rihong Qiu; Yongxin Xu; Wentao Zhang 008; Yichen Zhu; Ruizhe Zhang 013; Yuchen Fang 001; Chu Xu; Junfeng Zhao 001; Yasha Wang (NeurIPS, 2024)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. - Yongxin Xu; Xinke Jiang; Xu Chu; Rihong Qiu; Yujie Feng; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2025)

HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xinyu Ma; Xu Chu; Junfeng Zhao 001; et al. (ACL (1), 2025)

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models. - Weibin Liao; Xin Gao; Tianyu Jia; Rihong Qiu; Yifan Zhu; Yang Lin; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

SNIL: Generating Sports News From Insights With Large Language Models. - Liqi Cheng; Dazhen Deng; Xiao Xie; Rihong Qiu; Mingliang Xu 001; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2025)