KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. - Kai Yang; Yongxin Xu; Peinie Zou; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2023)

VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. - Yongxin Xu; Kai Yang; Chaohe Zhang; Peinie Zou; Zhiyuan Wang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (IJCAI, 2023)

SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. - Yongxin Xu; Xu Chu; Kai Yang; Zhiyuan Wang; Peinie Zou; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (WWW, 2023)

A ModelOps-based Framework for Intelligent Medical Knowledge Extraction. - Hongxin Ding; Peinie Zou; Zhiyuan Wang; Junfeng Zhao 001; Yasha Wang; Qiang Zhou (CoRR, 2023)

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)

ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. - Yongxin Xu; Xinke Jiang; Xu Chu; Yuzhen Xiao; Chaohe Zhang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (KDD, 2024)

3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. - Hongxin Ding; Yue Fang; Runchuan Zhu; Xinke Jiang; Jinyang Zhang; Yongxin Xu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

Practical and Robust Federated Learning With Highly Scalable Regression Training. - Song Han 006; Hongxin Ding; Shuai Zhao; Siqi Ren; Zhibo Wang 001; Jianhong Lin; Shuhao Zhou (IEEE Trans. Neural Networks Learn. Syst., 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)

Fed-GAN: Federated Generative Adversarial Network With Privacy-Preserving for Cross-Device Scenarios. - Song Han 006; Hongxin Ding; Shuai Zhao; Siqi Ren; Shengke Zeng; Mengqi Xue; Ruili Wang (IEEE Trans. Dependable Secur. Comput., 2025)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. - Hongxin Ding; Baixiang Huang; Yue Fang; Weibin Liao; Xinke Jiang; Zheng Li; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. - Yue Fang; Yuxin Guo; Jiaran Gao; Hongxin Ding; Xinke Jiang; Weibin Liao; Yongxin Xu; Yinghao Zhu; Zhibang Yang; Liantao Ma; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)