MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning. - Shenggeng Lin; Weizhi Chen; Gengwang Chen; Songchi Zhou; Dong-Qing Wei; Yi Xiong (J. Cheminformatics, 2022)

Less is More: Reducing Overfitting in Deep Learning for EEG Classification. - Songchi Zhou; Shijia Geng; Jun Li; Deyun Zhang; Ziqian Xie; Chuandong Cheng; Shenda Hong (CinC, 2023)

High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models. - Songchi Zhou; Sheng Yu 002 (CoRR, 2023)

Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health. - Songchi Zhou; Ge Song; Haoqi Sun; Yue Leng; M. Brandon Westover; Shenda Hong (CoRR, 2024)

EHRDiff : Exploring Realistic EHR Synthesis with Diffusion Models. - Hongyi Yuan; Songchi Zhou; Sheng Yu 002 (Trans. Mach. Learn. Res., 2024)

Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health. - Songchi Zhou; Ge Song; Haoqi Sun; Deyun Zhang; Yue Leng; M. Brandon Westover; Shenda Hong (npj Digit. Medicine, 2025)

Evaluating Entity Retrieval in Electronic Health Records: a Semantic Gap Perspective. - Zhengyun Zhao; Hongyi Yuan; Jingjing Liu; Haichao Chen; Huaiyuan Ying; Songchi Zhou; Sheng Yu 002 (CoRR, 2025)

Baichuan-M1: Pushing the Medical Capability of Large Language Models. - Bingning Wang; Haizhou Zhao; Huozhi Zhou; Liang Song; Mingyu Xu; Wei Cheng; Xiangrong Zeng; Yupeng Zhang; Yuqi Huo; Zecheng Wang; Zhengyun Zhao; Da Pan 003; et al. (CoRR, 2025)