Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment. - Xingzhi Sun 002; Wei Zhao; Lei Zuo; Alexandra Dumitriu; Chuang-Chung Lee; Nan Cui; Xiyang Liao; Tingting Zhao; Xuehan Jiang; Zhuoyang Xu; Gang Hu 001; Guotong Xie; et al. (AMIA, 2019)

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. - Guanxu Su; Jianghui Wen; Zhaowei Zhu; Zhuo Liu; Wei Zhao; Xingzhi Sun 002; Gang Hu 001; Guotong Xie (MedInfo, 2019)

Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning. - Lei Zuo; Xin Du; Wei Zhao; Chao Jiang; Shijun Xia; Liu He; Rong Liu; Ribo Tang; Rong Bai; Jianzeng Dong; Xingzhi Sun 002; Gang Hu 001; et al. (AMIA, 2020)

Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. - Zhaowei Zhu; Han Wang; Tingting Zhao; Yangming Guo; Zhuoyang Xu; Zhuo Liu; Siqi Liu; Xiang Lan 004; Xingzhi Sun 002; Mengling Feng (CinC, 2020)

A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. - Zhuo Liu; Linong Ji; Xuehan Jiang; Wei Zhao; Xiyang Liao; Tingting Zhao; Siqi Liu; Xingzhi Sun 002; Gang Hu 001; Mengling Feng; Guotong Xie (ICHI, 2020)

Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition. - Xuehan Jiang; Rui Tang; Xingzhi Sun 002; Gang Hu 001; Guotong Xie (BIBM, 2021)

Multi-Label Cardiac Abnormalities Classification on Selected Leads of ECG Signals. - Zhuoyang Xu; Yangming Guo; Tingting Zhao; Zhuo Liu; Xingzhi Sun 002 (CinC, 2021)

Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. - Rui Tang; Haishen Yao; Zhaowei Zhu; Xingzhi Sun 002; Gang Hu 001; Yichong Li; Guotong Xie (ICHI, 2021)

Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. - Zhuo Liu; Yanxuan Li; Xingzhi Sun 002; Fei Wang 001; Gang Hu 001; Guotong Xie (KDD, 2021)

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. - Zhaowei Zhu; Xiang Lan 004; Tingting Zhao; Yangming Guo; Pipin Kojodjojo; Zhuoyang Xu; Zhuo Liu; Siqi Liu; Han Wang; Xingzhi Sun 002; Mengling Feng (CoRR, 2021)

Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. - Rui Tang; Zhaowei Zhu; Haishen Yao; Yanxuan Li; Xingzhi Sun 002; Gang Hu 001; Guotong Xie; Yichong Li (ICHI, 2022)

Global Balanced Text Classification for Stable Disease Diagnosis. - Zhuoyang Xu; Xuehan Jiang; Siyue Chen; Yue Zhao; Gang Hu 001; Xingzhi Sun 002; Guotong Xie (ADMA (3), 2023)

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. - Yusheng Su; Chi-Min Chan; Jiali Cheng; Yujia Qin; Yankai Lin; Shengding Hu; Zonghan Yang; Ning Ding 002; Xingzhi Sun 002; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2023)

Interactive Molecular Discovery with Natural Language. - Zheni Zeng; Bangchen Yin; Shipeng Wang; Jiarui Liu; Cheng Yang 002; Haishen Yao; Xingzhi Sun 002; Maosong Sun 001; Guotong Xie; Zhiyuan Liu 001 (CoRR, 2023)

ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue. - Zhangpu Li; Changhong Zou; Suxue Ma; Zhicheng Yang; Chen Du; Youbao Tang; Zhenjie Cao; Ning Zhang; Jui-Hsin Lai; Ruei-Sung Lin; Yuan Ni; Xingzhi Sun 002; et al. (CoRR, 2024)