scSparkXMBD: High-Performance scRNA-seq Data Processing with Spark. - Yu Liu; Mingxuan Gao; Lixuan Tan; Hongjin Liu; Yating Lin; Wenxian Yang; Rongshan Yu (BIBM, 2021)

An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (BIBM, 2021)

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. - Hang Li; Fan Yang 081; Yu Zhao 009; Xiaohan Xing; Jun Zhang 018; Mingxuan Gao; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

Comparison of high-throughput single-cell RNA sequencing data processing pipelines. - Mingxuan Gao; Mingyi Ling; Xinwei Tang; Shun Wang; Xu Xiao; Ying Qiao; Wenxian Yang; Rongshan Yu (Briefings Bioinform., 2021)

Diamond: a multi-modal DIA mass spectrometry data processing pipeline. - Chenxin Li; Mingxuan Gao; Wenxian Yang; Chuanqi Zhong; Rongshan Yu (Bioinform., 2021)

Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (Bioinform., 2022)

Autoencoder-assisted Feature Ensemble Net for Incipient Faults. - Mingxuan Gao; Min Wang; Maoyin Chen (CoRR, 2024)

Make Silence Speak for Itself: a multi-modal learning analytic approach with neurophysiological data. - Mingxuan Gao; Jingjing Chen; Yun Long; Xiaomeng Xu; Yu Zhang (CoRR, 2025)